Fact
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Press Briefing: White House COVID-19 Response Team Holds a Briefing - February 9, 2021
StressLens
2 Topics
Entities
Moderation
4 Speakers
Entities
No entities found
Moderation
No moderation found
Speakers
Jeff Zients Jeff Zients said 83 sentences of a total of 177 sentences.
47%
Jeff Zients said 1437 words of a total of 2951 words.
49%
Jeff Zients talked 553 seconds of a total of 1121 seconds.
50%
Marcella Nunez-Smith Marcella Nunez-Smith said 43 sentences of a total of 177 sentences.
25%
Marcella Nunez-Smith said 919 words of a total of 2951 words.
32%
Marcella Nunez-Smith talked 359 seconds of a total of 1121 seconds.
33%
Question Question said 42 sentences of a total of 177 sentences.
24%
Question said 543 words of a total of 2951 words.
19%
Question talked 176 seconds of a total of 1121 seconds.
16%
Operator Operator said 9 sentences of a total of 177 sentences.
6%
Operator said 52 words of a total of 2951 words.
2%
Operator talked 30 seconds of a total of 1121 seconds.
3%
Full Transcript
Jeff Zients
00:00:00-00:00:27 (28 sec)No StressLens
Thank you for joining us. I'm Jeff Zients, White House COVID Coordinator. I'm pleased to be joined today by Dr. Marcella Nunez-Smith, Chair of the Biden-Harris COVID-19 Health Equity Task Force. We've just completed our weekly call with governors from around the country who -- where we provided updated on our efforts to defeat COVID-19. President Biden has laid out a comprehensive national strategy to tackle this pandemic.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.53846
Very Positive
Harvard-IV (Absolute)
0.53846
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.527
Very Positive
Moderation
Violence
0.0095980336
OpenAI Moderation v1 (007)
Sexual
0.0028274277
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009526576
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009071196
OpenAI Moderation v1 (007)
Harassment
0.0007517975
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004442476
OpenAI Moderation v1 (007)
Hate
0.0004116625
OpenAI Moderation v1 (007)
Self-Harm
2.00747E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.1145E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.919E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.664E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.056
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Health
Score:
83.034
Magnitude:
68
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.5
Flesch-Kincaid Ease
62.6
Gunning-Fog Score
9.8
Coleman-Liau Index
12
SMOG Index
11
Automated Readability Index
6.9
Dale-Chall Readability Score
7.9
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
33
Sprache Difficult Word Count
32
Jeff Zients
00:00:27-00:00:48 (21 sec)No Signal (0.577)
The national strategy utilizes all of the powers and resources of the federal government, working closely with state and local leaders, tribal leaders, and those on the frontlines in communities across the country. Central to the strategy is getting all Americans vaccinated as quickly and as equitably as possible.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Violence
0.0046013563
OpenAI Moderation v1 (007)
Harassment > Threatening
9.49378E-5
OpenAI Moderation v1 (007)
Sexual
8.77561E-5
OpenAI Moderation v1 (007)
Violence > Graphic
3.36868E-5
OpenAI Moderation v1 (007)
Harassment
3.1814E-5
OpenAI Moderation v1 (007)
Hate
3.3377E-6
OpenAI Moderation v1 (007)
Sexual > Minors
9.5E-7
OpenAI Moderation v1 (007)
Self-Harm
3.824E-7
OpenAI Moderation v1 (007)
Hate > Threatening
1.065E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.8E-9
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.6E-9
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.135
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Politics > Government
Score:
67
Magnitude:
0.091
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Politics > Government > National Government
Score:
56
Magnitude:
0.075
Code:
11006004
Url:
https://cv.iptc.org/newscodes/subjectcode/11006004
Wikidata_id:
Q1320217
Wikidata_label:
central government
Source:
IPTC Subject
Topic:
Civil Rights
Score:
35.825
Magnitude:
49
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
24.9
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
23
Jeff Zients
00:00:48-00:01:10 (21 sec)No Signal (0.711)
Increasing vaccine supply, increasing the number of vaccinators, and providing more places for people to get vaccinated, including supporting local and state partners in their efforts to get needles in arms: all three are critical. Today, we're taking new actions on vaccine supply and on the number of places for people to get vaccinated.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
0.296
Slightly Positive
Moderation
Violence
0.0037072376
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007579878
OpenAI Moderation v1 (007)
Sexual
0.0003730885
OpenAI Moderation v1 (007)
Self-Harm
0.0001096535
OpenAI Moderation v1 (007)
Violence > Graphic
9.36307E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.96027E-5
OpenAI Moderation v1 (007)
Harassment
5.9391E-5
OpenAI Moderation v1 (007)
Hate
1.57952E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.05122E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.1096E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.4699E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
1
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
96.164
Magnitude:
54
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
33.7
Gunning-Fog Score
17.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
16
Jeff Zients
00:01:10-00:01:34 (25 sec)No Signal (0.441)
I'll start with our efforts on vaccine supply. When we came into office three weeks ago, the weekly delivery was 8.6 million doses. And today we're announcing that we will increase weekly vaccine doses going to states, tribes, and territories to 11 million. So that is a total of a 28 percent increase in vaccine supply across the first three weeks.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.557
Very Positive
Moderation
Violence
0.0108480061
OpenAI Moderation v1 (007)
Sexual
0.0011987221
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007700221
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003643063
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001898473
OpenAI Moderation v1 (007)
Harassment
9.68712E-5
OpenAI Moderation v1 (007)
Hate
2.38114E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.698E-7
OpenAI Moderation v1 (007)
Self-Harm
4.459E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.18E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.8E-9
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.972
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
95.739
Magnitude:
58
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
67.9
Gunning-Fog Score
9.4
Coleman-Liau Index
10.5
SMOG Index
9.7
Automated Readability Index
7.3
Dale-Chall Readability Score
5.9
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
19
Jeff Zients
00:01:34-00:01:57 (23 sec)No Signal (0.528)
I know Americans are eager to get vaccinated, and we're working with manufacturers to increase the supply of vaccines as quickly as possible. As supply ramps up, we're also creating new convenient locations for vaccinations. These include standing up community vaccination centers, deploying mobile vaccine units, and launching new programs with pharmacies.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
0.718
Very Positive
Moderation
Violence
0.0115014504
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015582098
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006866991
OpenAI Moderation v1 (007)
Harassment
0.0005231543
OpenAI Moderation v1 (007)
Hate
0.0005053082
OpenAI Moderation v1 (007)
Sexual
7.16004E-5
OpenAI Moderation v1 (007)
Self-Harm
4.21332E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.95832E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.07946E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.248E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.12E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
1
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
91.572
Magnitude:
52
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.8
Gunning-Fog Score
14.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.1
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
25
Jeff Zients
00:01:57-00:02:22 (24 sec)No Signal (0.979)
Today, we are announcing another step in this effort, focused on some of our hardest-hit populations. Starting next week, we will begin a new program with federally qualified health centers, or as many people know them, "community health centers." Community health centers provide primary care services in underserved areas, reaching almost 30 million people.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.83333
Very Positive
Harvard-IV (Absolute)
0.83333
Very Positive
Harvard-IV (Logit)
2.03688
VADER
0.612
Very Positive
Moderation
Violence
0.0169940613
OpenAI Moderation v1 (007)
Harassment > Threatening
0.009671579
OpenAI Moderation v1 (007)
Violence > Graphic
0.0063281557
OpenAI Moderation v1 (007)
Harassment
0.0042034102
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009652964
OpenAI Moderation v1 (007)
Sexual
0.0007933861
OpenAI Moderation v1 (007)
Self-Harm
0.0007614859
OpenAI Moderation v1 (007)
Hate
0.0004218011
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001170216
OpenAI Moderation v1 (007)
Hate > Threatening
4.0699E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.20401E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Long Term Care
Score:
100
Magnitude:
0.486
Code:
14018000
Url:
https://cv.iptc.org/newscodes/subjectcode/14018000
Wikidata_id:
Q6672123
Wikidata_label:
long-term care
Source:
IPTC Subject
Topic:
Health
Score:
93.225
Magnitude:
53
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Health
Score:
91
Magnitude:
0.444
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Topic:
Labor > Collective Contract > Contract Issue-Healthcare
Score:
63
Magnitude:
0.308
Code:
9002002
Url:
https://cv.iptc.org/newscodes/subjectcode/09002002
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
39
Gunning-Fog Score
15.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
19
Jeff Zients
00:02:22-00:02:53 (31 sec)No Signal (0.575)
Under this new program we will begin directly sending vaccine supply to community health centers, enabling them to vaccinate the people they serve. Community health centers are an important part of our broader strategy to ensure we are reaching everyone with our response. I will turn it over to Dr. Nunez-Smith to provide more information on the community health center program, but before I do, I want to mention another important point that we discussed in our governors meeting today.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.48808
VADER
0.643
Very Positive
Moderation
Violence
0.0160484895
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018097084
OpenAI Moderation v1 (007)
Sexual
0.0007399429
OpenAI Moderation v1 (007)
Harassment
0.0002176282
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002060596
OpenAI Moderation v1 (007)
Sexual > Minors
0.000183428
OpenAI Moderation v1 (007)
Hate
8.59308E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.73165E-5
OpenAI Moderation v1 (007)
Self-Harm
2.9428E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.766E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.7E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.381
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
97.347
Magnitude:
80
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.8
Flesch-Kincaid Ease
46.3
Gunning-Fog Score
15
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
26
Jeff Zients
00:02:53-00:03:17 (24 sec)No Signal (0.876)
Equity is core to our strategy to put this pandemic behind us, and equity means that we are reaching everyone, particularly those in underserved and rural communities and those who have been hit hardest by this pandemic. But we cannot do this effectively at the federal level without our partners on the state and local level sharing the same commitment to equity.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.83321
VADER
0.735
Very Positive
Moderation
Violence
0.0061945553
OpenAI Moderation v1 (007)
Sexual
0.0058268481
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0030352443
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026112433
OpenAI Moderation v1 (007)
Harassment
0.001619053
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001267201
OpenAI Moderation v1 (007)
Hate
0.0001122677
OpenAI Moderation v1 (007)
Self-Harm
1.06263E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.4079E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.13E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.821E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Epidemic and Plague
Score:
100
Magnitude:
0.267
Code:
7002000
Url:
https://cv.iptc.org/newscodes/subjectcode/07002000
Wikidata_id:
Q44512
Wikidata_label:
epidemic
Source:
IPTC Subject
Topic:
Civil Rights
Score:
95.021
Magnitude:
62
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
32.1
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
20
Jeff Zients
00:03:17-00:03:40 (23 sec)No Signal (0.259)
They need to lead this work, as they know their communities better than anyone. Through efforts like community vaccination centers located in the hardest-hit areas, mobile units, the community health center program we're launching today, and efforts to build vaccine confidence, we are providing tools to communities around the country to do this work.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
0.85714
Very Positive
Harvard-IV (Absolute)
0.85714
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.827
Very Positive
Moderation
Violence
0.0044700209
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018113693
OpenAI Moderation v1 (007)
Sexual
0.000539569
OpenAI Moderation v1 (007)
Harassment
0.0001905199
OpenAI Moderation v1 (007)
Hate
9.66382E-5
OpenAI Moderation v1 (007)
Violence > Graphic
7.05019E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.3352E-5
OpenAI Moderation v1 (007)
Self-Harm
2.57726E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.5956E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.4928E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.1114E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
1
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
96.418
Magnitude:
54
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.4
Gunning-Fog Score
16.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
17
Jeff Zients
00:03:40-00:03:50 (11 sec)No Signal (0.982)
And we look forward to partnering with them to ensure equity. Over to Dr. Nunez-Smith, who will provide more information on the community health center program. Dr. Nunez-Smith.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.83321
VADER
0.382
Somewhat Positive
Moderation
Violence
0.0030483967
OpenAI Moderation v1 (007)
Harassment
0.0030266108
OpenAI Moderation v1 (007)
Hate
0.001264982
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010851564
OpenAI Moderation v1 (007)
Sexual
0.0008582668
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006317893
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004829362
OpenAI Moderation v1 (007)
Self-Harm
7.81444E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.5353E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.86516E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1264E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
32.557
Magnitude:
28
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Topic:
Health
Score:
26.756
Magnitude:
28
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6
Flesch-Kincaid Ease
62.6
Gunning-Fog Score
7.7
Coleman-Liau Index
12
SMOG Index
8.4
Automated Readability Index
3.9
Dale-Chall Readability Score
7.1
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
13
Marcella Nunez-Smith
00:03:50-00:04:16 (26 sec)No StressLens
Thanks so much, Jeff. You know, as Jeff said, we are providing a suite of tools to state and local leaders as they work to reach their underserved and hardest-hit populations. We are very excited about the announcement of this additional program today towards that effort. So, as you just heard, we are very excited to be partnering with federally-qualified health centers, also known as community health centers.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
3.29584
VADER
0.809
Very Positive
Moderation
Violence > Graphic
0.0070314258
OpenAI Moderation v1 (007)
Violence
0.0066169785
OpenAI Moderation v1 (007)
Sexual
0.0033795834
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0024020484
OpenAI Moderation v1 (007)
Harassment
0.0014588833
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009023052
OpenAI Moderation v1 (007)
Self-Harm
0.0004043345
OpenAI Moderation v1 (007)
Hate
0.0002234849
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.41033E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.00362E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.5945E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Health and Safety at Work
Score:
100
Magnitude:
0.181
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Health
Score:
92.176
Magnitude:
68
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Health
Score:
57
Magnitude:
0.103
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.4
Flesch-Kincaid Ease
58.5
Gunning-Fog Score
12.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.8
Dale-Chall Readability Score
4.5
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
22
Marcella Nunez-Smith
00:04:16-00:04:43 (27 sec)No StressLens
They do provide really substantial primary care services across many underserved areas. You know, in our country there are more than 1,300 community health centers spanning every U.S. state and territory, and serving over 30 million people. Two thirds of their patients live at or below the federal poverty line, and 60 percent of patients at community health centers identify as racial or ethnic minorities.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.53846
Very Positive
Harvard-IV (Absolute)
0.53846
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.309
Somewhat Positive
Moderation
Harassment
0.0145762606
OpenAI Moderation v1 (007)
Violence > Graphic
0.0068092661
OpenAI Moderation v1 (007)
Self-Harm
0.002926428
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0025699297
OpenAI Moderation v1 (007)
Violence
0.0022635539
OpenAI Moderation v1 (007)
Sexual
0.0017512208
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0013912185
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008320505
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0007169723
OpenAI Moderation v1 (007)
Hate
8.12718E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.3818E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Government Health Care
Score:
100
Magnitude:
0.492
Code:
7011000
Url:
https://cv.iptc.org/newscodes/subjectcode/07011000
Wikidata_id:
Q1519138
Wikidata_label:
national health insurance
Source:
IPTC Subject
Topic:
Health
Score:
93.148
Magnitude:
63
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Social Issue > Minority Group
Score:
84
Magnitude:
0.414
Code:
14010000
Url:
https://cv.iptc.org/newscodes/subjectcode/14010000
Wikidata_id:
Q769696
Wikidata_label:
national minority
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.4
Flesch-Kincaid Ease
51.8
Gunning-Fog Score
13.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8.3
Dale-Chall Readability Score
5.4
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
25
Marcella Nunez-Smith
00:04:43-00:05:06 (23 sec)No StressLens
So, in addition to the doses that have already been allocated to states and then additionally through the pharmacy program, we will begin shipping doses directly to these community health centers. We will be starting with a phased approach and will ramp up over time. But we anticipate a subset of FQHCs or community health centers to be able to start ordering vaccines as soon as next week.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0
Neutral
Moderation
Violence
0.0090315007
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023048849
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004460059
OpenAI Moderation v1 (007)
Sexual
0.0001528806
OpenAI Moderation v1 (007)
Harassment
7.11609E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.65505E-5
OpenAI Moderation v1 (007)
Self-Harm
1.32803E-5
OpenAI Moderation v1 (007)
Hate
6.7833E-6
OpenAI Moderation v1 (007)
Hate > Threatening
5.155E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.681E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.216E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.394
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
97.207
Magnitude:
68
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
49.5
Gunning-Fog Score
14.9
Coleman-Liau Index
11.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
21
Marcella Nunez-Smith
00:05:06-00:05:40 (34 sec)No StressLens
Ultimately, in this initial program phase, we plan to reach 250 community health centers. And again, across this initial phase, our goal is to allocate 1 million doses during this phase. That's 500,000 first doses and 500,000 second doses. You know, to Jeff's point, equity is our North Star here. This effort that focuses on direct allocation to the community health centers really is about connecting with those hard-to-reach populations across the country.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.026
Neutral
Moderation
Violence
0.0036193254
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0030642874
OpenAI Moderation v1 (007)
Sexual
0.0022069991
OpenAI Moderation v1 (007)
Harassment
0.0006019587
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002681552
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002023792
OpenAI Moderation v1 (007)
Hate
4.59771E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.50808E-5
OpenAI Moderation v1 (007)
Self-Harm
1.20297E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.3144E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.444E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
100
Magnitude:
0.129
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Topic:
Health
Score:
97.714
Magnitude:
69
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Lifestyle and Leisure > Adventure
Score:
57
Magnitude:
0.074
Code:
10015000
Url:
https://cv.iptc.org/newscodes/subjectcode/10015000
Wikidata_id:
Q1267055
Wikidata_label:
avocation
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
61.6
Gunning-Fog Score
12.4
Coleman-Liau Index
11.3
SMOG Index
12
Automated Readability Index
7.9
Dale-Chall Readability Score
5.3
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
21
Marcella Nunez-Smith
00:05:40-00:06:03 (23 sec)No StressLens
So this includes people who are experiencing homelessness, you know, agricultural and migrant workers, residents of public housing, and those with limited English proficiency. And as always, we plan to be very inclusive across jurisdictions. So in this initial phase, we will include at least one community health center in each state and territory.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
-0.226
Slightly Negative
Moderation
Harassment > Threatening
0.0064517102
OpenAI Moderation v1 (007)
Harassment
0.0027951144
OpenAI Moderation v1 (007)
Sexual
0.0022218303
OpenAI Moderation v1 (007)
Violence
0.001840794
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006021045
OpenAI Moderation v1 (007)
Hate
7.71772E-5
OpenAI Moderation v1 (007)
Self-Harm
4.51057E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.56291E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.8651E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.7361E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.5599E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Homelessness
Score:
100
Magnitude:
0.229
Code:
14009000
Url:
https://cv.iptc.org/newscodes/subjectcode/14009000
Wikidata_id:
Q131327
Wikidata_label:
homelessness
Source:
IPTC Subject
Topic:
Politics > Interior Policy > Housing and Urban Planning
Score:
65
Magnitude:
0.148
Code:
11016002
Url:
https://cv.iptc.org/newscodes/subjectcode/11016002
Wikidata_id:
Q69883
Wikidata_label:
urban planning
Source:
IPTC Subject
Topic:
Civil Rights
Score:
62.856
Magnitude:
54
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Topic:
Social Welfare
Score:
23.463
Magnitude:
54
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.6
Gunning-Fog Score
15.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.2
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
22
Marcella Nunez-Smith
00:06:03-00:06:28 (25 sec)No StressLens
You know, as the program further scales, vaccines will become available to all 1,400 community health centers across states and territories should they want to participate. So as we said, this new community health center program is just one tool to reach underserved communities, and it really does build on other efforts like the community vaccination centers, mobile clinics, and the pharmacy program.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
3.04452
VADER
0.44
Positive
Moderation
Violence
0.0053168184
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0048068163
OpenAI Moderation v1 (007)
Sexual
0.0017442138
OpenAI Moderation v1 (007)
Violence > Graphic
0.00084493
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005381507
OpenAI Moderation v1 (007)
Harassment
0.0001620698
OpenAI Moderation v1 (007)
Self-Harm
2.64744E-5
OpenAI Moderation v1 (007)
Hate
1.79832E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.0664E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.5647E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.585E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.601
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
96.599
Magnitude:
62
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
35.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
20
Marcella Nunez-Smith
00:06:28-00:06:51 (23 sec)No StressLens
And a really critical part of this work is also addressing vaccine confidence, which we know is lower in underserved communities than it is for the national average. So the tools that we are deploying at the federal level are meant to aid state and local leaders, but are in no way a substitute for the important work that they must lead on the ground to address equity.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
-0.21
Slightly Negative
Moderation
Violence
0.0020677973
OpenAI Moderation v1 (007)
Sexual
0.0007331422
OpenAI Moderation v1 (007)
Harassment
0.0004841023
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003865878
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001088799
OpenAI Moderation v1 (007)
Hate
4.81915E-5
OpenAI Moderation v1 (007)
Violence > Graphic
4.7464E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.6381E-6
OpenAI Moderation v1 (007)
Self-Harm
3.189E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.64E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.9E-9
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.151
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
96.237
Magnitude:
68
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Macro Economics > Government Aid
Score:
76
Magnitude:
0.114
Code:
4008007
Url:
https://cv.iptc.org/newscodes/subjectcode/04008007
Wikidata_id:
Q12002754
Wikidata_label:
state aid
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.4
Gunning-Fog Score
19
Coleman-Liau Index
10.1
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
21
Marcella Nunez-Smith
00:06:51-00:07:04 (13 sec)No StressLens
So we look forward to continue to work hand in hand with our partners and provide the federal resources necessary to ensure that everyone gets vaccinated. So thank you for your time. With that, I'll turn it back over to you, Jeff.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.895
Very Positive
Moderation
Violence
0.0066990207
OpenAI Moderation v1 (007)
Sexual
0.006539993
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012553128
OpenAI Moderation v1 (007)
Harassment
0.0005632373
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004035895
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001190444
OpenAI Moderation v1 (007)
Hate
3.77494E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.19903E-5
OpenAI Moderation v1 (007)
Self-Harm
9.5262E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.4947E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.131E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.178
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
93
Magnitude:
0.166
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Health
Score:
84.739
Magnitude:
42
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
69.8
Gunning-Fog Score
11.3
Coleman-Liau Index
9.8
SMOG Index
11.3
Automated Readability Index
6.1
Dale-Chall Readability Score
4.1
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
11
Jeff Zients
00:07:04-00:07:08 (4 sec)No StressLens
Good. Well, why don't we go ahead and open it up for questions.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.612
Very Positive
Moderation
Sexual
0.0290953962
OpenAI Moderation v1 (007)
Violence
0.0097259988
OpenAI Moderation v1 (007)
Sexual > Minors
0.0071389935
OpenAI Moderation v1 (007)
Violence > Graphic
0.0061917439
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018139328
OpenAI Moderation v1 (007)
Harassment
0.0012813965
OpenAI Moderation v1 (007)
Hate
0.0002935541
OpenAI Moderation v1 (007)
Self-Harm
0.0001317173
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.69461E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.76047E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.451E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > Reviews
Score:
100
Magnitude:
0.083
Code:
1026004
Url:
https://cv.iptc.org/newscodes/subjectcode/01026004
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Topic:
Science and Technology > Science (General)
Score:
82
Magnitude:
0.068
Code:
13009000
Url:
https://cv.iptc.org/newscodes/subjectcode/13009000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
76
Magnitude:
0.063
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Social Issue
Score:
65
Magnitude:
0.054
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Politics
Score:
64
Magnitude:
0.054
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
64
Magnitude:
0.053
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Human Interest > Curiosity
Score:
63
Magnitude:
0.053
Code:
8002000
Url:
https://cv.iptc.org/newscodes/subjectcode/08002000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
2.4
Flesch-Kincaid Ease
89.6
Gunning-Fog Score
5.7
Coleman-Liau Index
5.4
SMOG Index
7.3
Automated Readability Index
0
Dale-Chall Readability Score
0.3
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
2
Operator
00:07:08-00:07:15 (7 sec)No StressLens
Great. Thanks, Jeff. First we're going to go to Meg Tirrell at CNBC.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.791
Very Positive
Moderation
Violence
0.041237392
OpenAI Moderation v1 (007)
Violence > Graphic
0.0300811022
OpenAI Moderation v1 (007)
Sexual
0.0163535486
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0143265599
OpenAI Moderation v1 (007)
Hate
0.0084927662
OpenAI Moderation v1 (007)
Harassment
0.0033302334
OpenAI Moderation v1 (007)
Sexual > Minors
0.0019837133
OpenAI Moderation v1 (007)
Hate > Threatening
0.0012737099
OpenAI Moderation v1 (007)
Self-Harm
9.99327E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.12905E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.2585E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.7
Coleman-Liau Index
7.2
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
5.1
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
6
Question
00:07:15-00:07:37 (21 sec)No StressLens
Hi. Well, thanks for having this. I'm just wondering about equity in terms of the Federal Pharmacy Program and the signups that you're seeing at pharmacies. How do you think it can be assured that the pharmacies that are receiving these vaccines are supplying and serving the communities where they are, rather than having, you know, folks from other places coming in and making appointments?
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.8
Very Positive
Harvard-IV (Absolute)
0.8
Very Positive
Harvard-IV (Logit)
1.84583
VADER
0.758
Very Positive
Moderation
Violence
0.0027763192
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0024858182
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010792623
OpenAI Moderation v1 (007)
Harassment
0.0009044616
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004925087
OpenAI Moderation v1 (007)
Sexual
0.0003798035
OpenAI Moderation v1 (007)
Hate
0.0001716449
OpenAI Moderation v1 (007)
Self-Harm
0.0001244479
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.13561E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.5818E-6
OpenAI Moderation v1 (007)
Hate > Threatening
6.3707E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.126
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
72.404
Magnitude:
65
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
58.9
Gunning-Fog Score
11.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.7
Dale-Chall Readability Score
4.7
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
22
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.0280632579
OpenAI Moderation v1 (007)
Violence
0.0214291504
OpenAI Moderation v1 (007)
Violence > Graphic
0.0099412988
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0032735032
OpenAI Moderation v1 (007)
Hate > Threatening
0.0024757399
OpenAI Moderation v1 (007)
Sexual
0.0023973229
OpenAI Moderation v1 (007)
Hate
0.0012856732
OpenAI Moderation v1 (007)
Self-Harm
8.5613E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.23076E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.61514E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.04334E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.7
Flesch-Kincaid Ease
92.5
Gunning-Fog Score
0.6
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Marcella Nunez-Smith
00:07:38-00:08:14 (37 sec)No StressLens
Yes, thank you for that question. You know, I think one of the first things we have to recognize and understand are the structural barriers that present challenges for many people connecting with vaccination. And so the location of the vaccination sites is critical. You know, CDC is working very closely with those participating in the Federal Retail Pharmacy Program to make sure that we see, you know, a substantial number of pharmacies located in socially vulnerable areas moving forward.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
0.691
Very Positive
Moderation
Harassment > Threatening
0.0037738806
OpenAI Moderation v1 (007)
Violence
0.0032818047
OpenAI Moderation v1 (007)
Harassment
0.0007211836
OpenAI Moderation v1 (007)
Sexual
0.0005119653
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001452836
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001389668
OpenAI Moderation v1 (007)
Hate
6.11174E-5
OpenAI Moderation v1 (007)
Self-Harm
2.04545E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.27936E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.8456E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.514E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.556
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
96.428
Magnitude:
80
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
44.8
Gunning-Fog Score
16
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
26
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0
Neutral
Moderation
Sexual
0.115807855
OpenAI Moderation v1 (007)
Harassment
0.0219903683
OpenAI Moderation v1 (007)
Hate
0.0169219915
OpenAI Moderation v1 (007)
Violence
0.010050639
OpenAI Moderation v1 (007)
Sexual > Minors
0.0046333149
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008785788
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003028673
OpenAI Moderation v1 (007)
Hate > Threatening
3.91178E-5
OpenAI Moderation v1 (007)
Self-Harm
2.3589E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.04678E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4162E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.9
Flesch-Kincaid Ease
77.9
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
7.8
Dale-Chall Readability Score
0.1
Sprache Readability Score
1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0604956702
OpenAI Moderation v1 (007)
Harassment
0.0245055737
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0201013376
OpenAI Moderation v1 (007)
Hate
0.0151431872
OpenAI Moderation v1 (007)
Sexual
0.005227669
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012269415
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005830169
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001001844
OpenAI Moderation v1 (007)
Self-Harm
3.7772E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.876E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.302E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.8
Flesch-Kincaid Ease
82.4
Gunning-Fog Score
3.2
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
1.4
Dale-Chall Readability Score
6.3
Sprache Readability Score
2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Question
00:08:23-00:08:44 (22 sec)No StressLens
Dan Vergano, BuzzFeed. I'm wondering if you could just say more broadly: Is there just going to be an inevitable trade-off in terms of efficiency versus equity here? I mean, if we didn't prioritize at all, we would, you know, be giving this to anybody, it would go faster. Is the country just going to have to accept that if we're going to reach people who haven't been treated well in the past, we're going to have to lose a little efficiency for the sake of equity?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.733
Very Positive
Moderation
Harassment > Threatening
0.2289930824
OpenAI Moderation v1 (007)
Harassment
0.1162976958
OpenAI Moderation v1 (007)
Violence > Graphic
0.0268266391
OpenAI Moderation v1 (007)
Hate
0.0236117354
OpenAI Moderation v1 (007)
Violence
0.0210658967
OpenAI Moderation v1 (007)
Sexual > Minors
0.0088975146
OpenAI Moderation v1 (007)
Sexual
0.0046711044
OpenAI Moderation v1 (007)
Hate > Threatening
0.0027067807
OpenAI Moderation v1 (007)
Self-Harm
0.0021055379
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001877464
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.41506E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Domestic Commerce
Score:
25.278
Magnitude:
87
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Topic:
Labor
Score:
25.163
Magnitude:
87
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.9
Flesch-Kincaid Ease
63.4
Gunning-Fog Score
12.4
Coleman-Liau Index
8.5
SMOG Index
11.8
Automated Readability Index
9
Dale-Chall Readability Score
4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
23
Jeff Zients
00:08:44-00:09:06 (21 sec)No Signal (0.228)
I don't -- I don't accept that premise at all. I think we can do this in a fair, equitable, and efficient way. And I think today's announcement about utilizing the community health centers is part of a multi-pronged strategy to reach all Americans. So, efficiency and equity are both central to what we're doing, and I don't see any trade-off between the two.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.94444
VADER
0.7
Very Positive
Moderation
Harassment > Threatening
0.0196981317
OpenAI Moderation v1 (007)
Violence
0.0149521424
OpenAI Moderation v1 (007)
Violence > Graphic
0.0091279973
OpenAI Moderation v1 (007)
Harassment
0.0088976594
OpenAI Moderation v1 (007)
Sexual
0.0013415663
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003386953
OpenAI Moderation v1 (007)
Hate
0.0003363626
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002068446
OpenAI Moderation v1 (007)
Self-Harm
2.35355E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.2134E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.113E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
100
Magnitude:
0.113
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Company Information > Plant Closing
Score:
76
Magnitude:
0.086
Code:
4016032
Url:
https://cv.iptc.org/newscodes/subjectcode/04016032
Wikidata_id:
Q1391314
Wikidata_label:
business information
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
71
Magnitude:
0.08
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
60
Magnitude:
0.068
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Politics
Score:
57
Magnitude:
0.064
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue
Score:
53
Magnitude:
0.06
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Social Welfare
Score:
46.435
Magnitude:
64
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Topic:
Civil Rights
Score:
26.601
Magnitude:
64
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.7
Flesch-Kincaid Ease
61.5
Gunning-Fog Score
11.4
Coleman-Liau Index
9.5
SMOG Index
11.8
Automated Readability Index
6.9
Dale-Chall Readability Score
4.4
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
20
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.494
Positive
Moderation
Harassment
0.1326710684
OpenAI Moderation v1 (007)
Sexual
0.0861351087
OpenAI Moderation v1 (007)
Violence
0.0304341316
OpenAI Moderation v1 (007)
Hate
0.0226433083
OpenAI Moderation v1 (007)
Violence > Graphic
0.0078138895
OpenAI Moderation v1 (007)
Sexual > Minors
0.0029252031
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0025116105
OpenAI Moderation v1 (007)
Self-Harm
0.0010720559
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006771259
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003223217
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001659432
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2.8
Coleman-Liau Index
3.5
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.3
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Sexual
0.0501825358
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020268579
OpenAI Moderation v1 (007)
Violence
0.0020175779
OpenAI Moderation v1 (007)
Harassment
0.0017586703
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011891452
OpenAI Moderation v1 (007)
Self-Harm
0.0005958002
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003024989
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002485465
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001777846
OpenAI Moderation v1 (007)
Hate
0.0001412762
OpenAI Moderation v1 (007)
Hate > Threatening
1.8116E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0896619284
OpenAI Moderation v1 (007)
Harassment > Threatening
0.005874518
OpenAI Moderation v1 (007)
Hate
0.0057582638
OpenAI Moderation v1 (007)
Harassment
0.00437159
OpenAI Moderation v1 (007)
Sexual
0.0029943076
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018234949
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001219029
OpenAI Moderation v1 (007)
Sexual > Minors
9.37959E-5
OpenAI Moderation v1 (007)
Self-Harm
3.27393E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.7418E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.9E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.3
Flesch-Kincaid Ease
93
Gunning-Fog Score
3.2
Coleman-Liau Index
9.9
SMOG Index
3.3
Automated Readability Index
3.2
Dale-Chall Readability Score
6.3
Sprache Readability Score
2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Question
00:09:17-00:09:37 (20 sec)No StressLens
Hi there. Thank you so much for doing this. Can you just maybe run through the topline numbers? You said 11 million a week to states. Jeff, Dr. Nunez-Smith, did you put a number? I didn't quite catch it on how many would go to community health centers. And, of course, there was pledge of up to a million to pharmacies.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
0.487
Positive
Moderation
Violence > Graphic
0.0149804691
OpenAI Moderation v1 (007)
Violence
0.0057185192
OpenAI Moderation v1 (007)
Sexual
0.0048199898
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0046887912
OpenAI Moderation v1 (007)
Sexual > Minors
0.0039797516
OpenAI Moderation v1 (007)
Harassment
0.0019836622
OpenAI Moderation v1 (007)
Hate
0.000563536
OpenAI Moderation v1 (007)
Self-Harm
0.0003752026
OpenAI Moderation v1 (007)
Hate > Threatening
6.34569E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.43915E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.63281E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
91.334
Magnitude:
60
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.3
Flesch-Kincaid Ease
92.5
Gunning-Fog Score
5.7
Coleman-Liau Index
7.2
SMOG Index
7.3
Automated Readability Index
0.9
Dale-Chall Readability Score
2.7
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
13
Question
00:09:37-00:09:54 (17 sec)No StressLens
Should we be adding these all together for total shipments? And secondly, I wanted to ask that there's a report that you've told -- the governors, excuse me, that Pfizer is boosting its shipments this quarter by 50 million doses. Is that accurate? Can you give us any more detail on that? Thank you.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.695
Very Positive
Moderation
Sexual
0.0090446702
OpenAI Moderation v1 (007)
Sexual > Minors
0.0036038819
OpenAI Moderation v1 (007)
Harassment
0.0032512024
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018086852
OpenAI Moderation v1 (007)
Hate
0.0012489159
OpenAI Moderation v1 (007)
Violence
0.0008773697
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007494116
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001154302
OpenAI Moderation v1 (007)
Self-Harm
4.3285E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.9096E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.041E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Financial and Business Service > Shipping Service
Score:
100
Magnitude:
0.059
Code:
4006012
Url:
https://cv.iptc.org/newscodes/subjectcode/04006012
Wikidata_id:
Q1447463
Wikidata_label:
package delivery
Source:
IPTC Subject
Topic:
Domestic Commerce
Score:
89.023
Magnitude:
53
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
76.4
Gunning-Fog Score
8
Coleman-Liau Index
10
SMOG Index
9
Automated Readability Index
4.5
Dale-Chall Readability Score
5
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
17
Jeff Zients
00:09:54-00:10:14 (20 sec)No Signal (0.349)
Yeah, on the Pfizer piece -- I'll take the second one first: Not to my knowledge whatsoever. What I think Pfizer did announce a couple of weeks ago was that they were going to deliver 120 million doses in the first quarter, up from 100 million, and that they would fulfill their commitment for their first 200 million doses by the end of May.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.772
Very Positive
Moderation
Violence
0.0102811617
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018120483
OpenAI Moderation v1 (007)
Harassment
0.0007606571
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004782786
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004281409
OpenAI Moderation v1 (007)
Self-Harm
0.0004018217
OpenAI Moderation v1 (007)
Sexual
0.0001762495
OpenAI Moderation v1 (007)
Hate
0.0001690487
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.52977E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.6864E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.6296E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Domestic Commerce
Score:
49.129
Magnitude:
61
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Topic:
Health
Score:
39.754
Magnitude:
61
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
63.4
Gunning-Fog Score
16.4
Coleman-Liau Index
8.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
14
Jeff Zients
00:10:14-00:10:42 (28 sec)No Signal (0.375)
But I'm not aware of any additional Pfizer announcements. So Pfizer did announce those accelerated deliveries a couple of weeks ago, which is obviously good news. I'll remind people also that the President ordered the next 200 million doses, which will provide us with 600 million doses -- 100 each from Moderna and Pfizer to bring us to a total of 600 million this summer, which is enough vaccine to vaccinate all Americans.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.44
Positive
Moderation
Violence
0.0222776944
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0057192177
OpenAI Moderation v1 (007)
Harassment
0.0006842646
OpenAI Moderation v1 (007)
Sexual
0.0005545316
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001640936
OpenAI Moderation v1 (007)
Hate
0.000123807
OpenAI Moderation v1 (007)
Violence > Graphic
5.52842E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.61754E-5
OpenAI Moderation v1 (007)
Self-Harm
9.7365E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.054E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.66E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.219
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
85.606
Magnitude:
69
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46.2
Gunning-Fog Score
14.6
Coleman-Liau Index
11.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
23
Jeff Zients
00:10:42-00:11:06 (24 sec)No Signal (0.727)
Let me just run through the topline numbers. Three weeks ago, states were -- when we walked into office, states were receiving 8.6 million vacs. States, territories, and tribes who were receiving 8.6 million weekly doses. That is now 11 million, which is up 28 percent. You're correct that we also announced the pharmacy program, which we're starting with a million allocation.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
0
Neutral
Moderation
Violence
0.0061047846
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0037120062
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015778001
OpenAI Moderation v1 (007)
Sexual
0.001468512
OpenAI Moderation v1 (007)
Harassment
0.000947204
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005728674
OpenAI Moderation v1 (007)
Hate
0.0003154831
OpenAI Moderation v1 (007)
Self-Harm
1.1355E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.1539E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.115E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.038E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > People
Score:
100
Magnitude:
0.103
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Computing and Information Technology > Software
Score:
80
Magnitude:
0.083
Code:
4003005
Url:
https://cv.iptc.org/newscodes/subjectcode/04003005
Wikidata_id:
Q7397
Wikidata_label:
software
Source:
IPTC Subject
Topic:
Health
Score:
79.985
Magnitude:
58
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Arts, Culture and Entertainment > Mass Media > Periodicals
Score:
58
Magnitude:
0.06
Code:
1026001
Url:
https://cv.iptc.org/newscodes/subjectcode/01026001
Wikidata_id:
Q1002697
Wikidata_label:
periodical
Source:
IPTC Subject
Topic:
Politics
Score:
57
Magnitude:
0.058
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
51
Magnitude:
0.053
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.8
Flesch-Kincaid Ease
68.2
Gunning-Fog Score
10.8
Coleman-Liau Index
12
SMOG Index
10.9
Automated Readability Index
7.1
Dale-Chall Readability Score
4.5
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
20
Jeff Zients
00:11:06-00:11:21 (15 sec)Weak (1.102)
That begins this week. And then the program we were talking about today with community health centers is a million allocation as that program phases in across the next couple of weeks.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0
Neutral
Moderation
Violence
0.0169077015
OpenAI Moderation v1 (007)
Violence > Graphic
0.0080606791
OpenAI Moderation v1 (007)
Harassment > Threatening
0.006639753
OpenAI Moderation v1 (007)
Sexual
0.0013164932
OpenAI Moderation v1 (007)
Harassment
0.0002676307
OpenAI Moderation v1 (007)
Self-Harm
0.0001244252
OpenAI Moderation v1 (007)
Sexual > Minors
0.000118037
OpenAI Moderation v1 (007)
Hate > Threatening
2.46313E-5
OpenAI Moderation v1 (007)
Hate
1.50377E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.8395E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.3495E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
92.761
Magnitude:
32
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
58.4
Gunning-Fog Score
10.2
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
8.8
Dale-Chall Readability Score
4.7
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
10
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.625
Very Positive
Moderation
Harassment
0.1766408444
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1722958288
OpenAI Moderation v1 (007)
Violence
0.0437896349
OpenAI Moderation v1 (007)
Hate
0.0053395823
OpenAI Moderation v1 (007)
Violence > Graphic
0.0047801339
OpenAI Moderation v1 (007)
Sexual
0.0033448552
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003556079
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001556165
OpenAI Moderation v1 (007)
Self-Harm
8.5772E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.1118E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.309E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Technology
Score:
21.36
Magnitude:
9
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
1.9
Flesch-Kincaid Ease
89.5
Gunning-Fog Score
1.8
Coleman-Liau Index
8.3
SMOG Index
7.3
Automated Readability Index
0.2
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Question
00:11:26-00:11:45 (19 sec)No StressLens
Hi, thanks so much for taking my questions. The first question I have is: Can you talk a little bit about who in these community health centers will begin? Is there a criteria for age or for income level? I'm just wondering how you'll -- will be able to track, as a country, who gets the vaccines that go through these community health centers.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
0.504
Very Positive
Moderation
Violence
0.0045081986
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023404997
OpenAI Moderation v1 (007)
Harassment
0.0015796881
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006326661
OpenAI Moderation v1 (007)
Hate
0.0005480074
OpenAI Moderation v1 (007)
Sexual > Minors
0.000399694
OpenAI Moderation v1 (007)
Sexual
0.0002564059
OpenAI Moderation v1 (007)
Self-Harm
4.74268E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.08098E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.163E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.2867E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.184
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
94.98
Magnitude:
64
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Health
Score:
61
Magnitude:
0.112
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
72.7
Gunning-Fog Score
9.5
Coleman-Liau Index
9.3
SMOG Index
9.7
Automated Readability Index
6.6
Dale-Chall Readability Score
2.3
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
13
Question
00:11:45-00:11:58 (13 sec)No StressLens
And are there other tools being given to these health centers in order to get -- to help them both convince people to get the vaccine and its safety, but also to just distribute it and make sure people are aware of it?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.735
Very Positive
Moderation
Violence
0.0028791228
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003939825
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002116973
OpenAI Moderation v1 (007)
Self-Harm
0.000135655
OpenAI Moderation v1 (007)
Sexual
9.23838E-5
OpenAI Moderation v1 (007)
Harassment
6.82458E-5
OpenAI Moderation v1 (007)
Violence > Graphic
4.03215E-5
OpenAI Moderation v1 (007)
Hate
3.07118E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.57192E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.28115E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.6167E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.31
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
97.765
Magnitude:
43
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
49.4
Gunning-Fog Score
18.7
Coleman-Liau Index
8.3
SMOG Index
11.3
Automated Readability Index
12
Dale-Chall Readability Score
3.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
10
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0.44
Positive
Moderation
Sexual
0.0715492875
OpenAI Moderation v1 (007)
Sexual > Minors
0.0097001939
OpenAI Moderation v1 (007)
Violence
0.0085726606
OpenAI Moderation v1 (007)
Harassment
0.0042560929
OpenAI Moderation v1 (007)
Violence > Graphic
0.0023581611
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014502938
OpenAI Moderation v1 (007)
Hate
0.0004197438
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001634717
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001298329
OpenAI Moderation v1 (007)
Self-Harm
9.93671E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.50035E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.2
Flesch-Kincaid Ease
77.2
Gunning-Fog Score
6.1
Coleman-Liau Index
9.1
SMOG Index
6.6
Automated Readability Index
0
Dale-Chall Readability Score
6.1
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Marcella Nunez-Smith
00:12:03-00:12:28 (25 sec)No StressLens
Great. Thank you for those questions. So to the first one: You know, as we select the participating FQHCs, CDC and HRSA is working very hard on those selection criteria, in particular identifying those FQHCs or community health centers who have a significant number of patients who experience homelessness, for example, for example; who are agricultural migrant workers; residents of public housing; and limited English proficiency.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.73
Very Positive
Moderation
Harassment
0.0150589651
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0079232355
OpenAI Moderation v1 (007)
Violence > Graphic
0.0074306663
OpenAI Moderation v1 (007)
Violence
0.0027771717
OpenAI Moderation v1 (007)
Sexual
0.0022277221
OpenAI Moderation v1 (007)
Sexual > Minors
0.000534063
OpenAI Moderation v1 (007)
Self-Harm
0.0004029142
OpenAI Moderation v1 (007)
Hate
0.0003950453
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001168272
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.68673E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.5565E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Interior Policy > Housing and Urban Planning
Score:
100
Magnitude:
0.121
Code:
11016002
Url:
https://cv.iptc.org/newscodes/subjectcode/11016002
Wikidata_id:
Q69883
Wikidata_label:
urban planning
Source:
IPTC Subject
Topic:
Labor > Health and Safety at Work
Score:
77
Magnitude:
0.094
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Social Issue > Homelessness
Score:
71
Magnitude:
0.086
Code:
14009000
Url:
https://cv.iptc.org/newscodes/subjectcode/14009000
Wikidata_id:
Q131327
Wikidata_label:
homelessness
Source:
IPTC Subject
Topic:
Health
Score:
65.887
Magnitude:
66
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Labor > Employment
Score:
61
Magnitude:
0.074
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
30.7
Gunning-Fog Score
18.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
28
Marcella Nunez-Smith
00:12:28-00:12:54 (26 sec)No StressLens
So some of those special populations. The Federally Qualified Health Centers also in our initial ramp-up really are ones that serve more than 2,000 individuals 65 and older and have large population size -- so, really, ones that are able to handle, kind of, the increased capacity, particularly around the vaccine storage and staffing, and with a mix of urban and rural.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
0.326
Somewhat Positive
Moderation
Violence
0.001289063
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012157413
OpenAI Moderation v1 (007)
Harassment
0.0006886679
OpenAI Moderation v1 (007)
Sexual
0.0004140565
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002652635
OpenAI Moderation v1 (007)
Self-Harm
0.0001085419
OpenAI Moderation v1 (007)
Sexual > Minors
6.7626E-5
OpenAI Moderation v1 (007)
Hate
6.6123E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.05864E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.19032E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.7763E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.27
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
97.739
Magnitude:
60
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.5
Gunning-Fog Score
18.3
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
20
Marcella Nunez-Smith
00:12:54-00:13:17 (22 sec)No StressLens
So the prioritization is still going to be per local jurisdiction guidelines, but making sure, for example, that when over-65 is eligible, that because someone has limited English proficiency or experiences homelessness, that these Federally Qualified Centers will be able to do the outreach necessary to help them schedule appointments and get vaccinated.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
0.778
Very Positive
Moderation
Harassment > Threatening
0.0044922253
OpenAI Moderation v1 (007)
Violence
0.0012820271
OpenAI Moderation v1 (007)
Harassment
0.0004658752
OpenAI Moderation v1 (007)
Sexual
0.0002337949
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001708388
OpenAI Moderation v1 (007)
Hate
7.8715E-5
OpenAI Moderation v1 (007)
Self-Harm
3.49008E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.59082E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.5171E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.0166E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.312E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Homelessness
Score:
100
Magnitude:
0.111
Code:
14009000
Url:
https://cv.iptc.org/newscodes/subjectcode/14009000
Wikidata_id:
Q131327
Wikidata_label:
homelessness
Source:
IPTC Subject
Topic:
Civil Rights
Score:
91.691
Magnitude:
53
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Topic:
Health > Preventative Medicine > Vaccines
Score:
84
Magnitude:
0.093
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
23
Marcella Nunez-Smith
00:13:17-00:13:38 (21 sec)No StressLens
And to the second one: Yes, you know, FEMA has already been providing requested support to community health centers with personnel and vaccinators and others. And so we stand ready as necessary to work with the Federally Qualified Health Centers, of course as well as state and local, to make sure that their patient populations are getting vaccinated.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.83333
Very Positive
Harvard-IV (Absolute)
0.83333
Very Positive
Harvard-IV (Logit)
2.03688
VADER
0.891
Very Positive
Moderation
Violence
0.0137594659
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0028858714
OpenAI Moderation v1 (007)
Sexual
0.0007355542
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007136379
OpenAI Moderation v1 (007)
Harassment
0.0003607656
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002105059
OpenAI Moderation v1 (007)
Hate
4.7716E-5
OpenAI Moderation v1 (007)
Self-Harm
3.01386E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.1259E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.6154E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.283E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.216
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
97.326
Magnitude:
58
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Labor > Health and Safety at Work
Score:
96
Magnitude:
0.207
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Health
Score:
58
Magnitude:
0.126
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.4
Gunning-Fog Score
17.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
18
Question
00:13:38-00:13:57 (19 sec)No StressLens
And if I could ask one other question; it's about the East Oakland and East L.A. vaccination centers. I wonder if you could talk a bit more about how that's going there. Also, what, kind of, made them a good -- good places to launch those vaccination centers? And are there other cities that might be next, based on that same criteria?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.732
Very Positive
Moderation
Harassment > Threatening
0.0018155371
OpenAI Moderation v1 (007)
Violence
0.0011837494
OpenAI Moderation v1 (007)
Harassment
0.0006974251
OpenAI Moderation v1 (007)
Hate
0.000321475
OpenAI Moderation v1 (007)
Sexual
0.0002562497
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001689918
OpenAI Moderation v1 (007)
Hate > Threatening
7.43959E-5
OpenAI Moderation v1 (007)
Violence > Graphic
2.70939E-5
OpenAI Moderation v1 (007)
Self-Harm
1.24902E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.3631E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.408E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.422
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
93.525
Magnitude:
63
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.4
Flesch-Kincaid Ease
81.7
Gunning-Fog Score
6.1
Coleman-Liau Index
8.8
SMOG Index
7.3
Automated Readability Index
3.4
Dale-Chall Readability Score
2
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
9
Jeff Zients
00:13:57-00:14:01 (3 sec)No StressLens
Dr. Nunez-Smith, do you want to handle that, or would you prefer me to?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.077
Neutral
Moderation
Violence
0.236856332
OpenAI Moderation v1 (007)
Harassment
0.1244236366
OpenAI Moderation v1 (007)
Sexual
0.0967580359
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0776533096
OpenAI Moderation v1 (007)
Violence > Graphic
0.0115499519
OpenAI Moderation v1 (007)
Self-Harm
0.0078392724
OpenAI Moderation v1 (007)
Sexual > Minors
0.0034604243
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.003022163
OpenAI Moderation v1 (007)
Hate
0.0018251163
OpenAI Moderation v1 (007)
Hate > Threatening
0.0010399915
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004770109
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.5
Flesch-Kincaid Ease
97.7
Gunning-Fog Score
3
Coleman-Liau Index
5
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
4.6
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Sexual
0.0556694751
OpenAI Moderation v1 (007)
Violence
0.0093182352
OpenAI Moderation v1 (007)
Violence > Graphic
0.0062323765
OpenAI Moderation v1 (007)
Harassment
0.0046472804
OpenAI Moderation v1 (007)
Sexual > Minors
0.002483913
OpenAI Moderation v1 (007)
Self-Harm
0.0021030735
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015147728
OpenAI Moderation v1 (007)
Hate
0.0013724361
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0009316435
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.90352E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.52581E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.6
Flesch-Kincaid Ease
54.7
Gunning-Fog Score
1.6
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
2.9
Dale-Chall Readability Score
4.1
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.318
Somewhat Positive
Moderation
Sexual
0.0321577245
OpenAI Moderation v1 (007)
Violence
0.0038719623
OpenAI Moderation v1 (007)
Violence > Graphic
0.0038159873
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0034740373
OpenAI Moderation v1 (007)
Sexual > Minors
0.0027390519
OpenAI Moderation v1 (007)
Hate
0.0017521881
OpenAI Moderation v1 (007)
Self-Harm
0.0006864889
OpenAI Moderation v1 (007)
Harassment
0.0006604835
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001460983
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001409722
OpenAI Moderation v1 (007)
Hate > Threatening
2.56254E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.4
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
7.3
Dale-Chall Readability Score
0
Sprache Readability Score
0.8
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Marcella Nunez-Smith
00:14:03-00:14:31 (28 sec)No StressLens
You know, the process -- and I think it's going very well in terms of working closely with states and locals to identify where CVCs are placed, and certainly taking social vulnerability into account and being very coordinated in that response. So, you know, days are early yet, but we are very optimistic and encouraged by the partnership and, really, the interest from states and locals to work together and so closely with FEMA to launch additional ones.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.94444
VADER
0.924
Very Positive
Moderation
Violence
0.0139714917
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012389819
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005912032
OpenAI Moderation v1 (007)
Sexual
0.0003581609
OpenAI Moderation v1 (007)
Harassment
0.000196963
OpenAI Moderation v1 (007)
Hate
1.9065E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.20259E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.1228E-6
OpenAI Moderation v1 (007)
Self-Harm
5.7651E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.478E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.098E-7
OpenAI Moderation v1 (007)
Topics
Topic:
International Affairs
Score:
31.462
Magnitude:
78
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
31.5
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
26
Marcella Nunez-Smith
00:14:31-00:14:35 (4 sec)No StressLens
So expect more announcements to be forthcoming.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence > Graphic
0.0069748014
OpenAI Moderation v1 (007)
Violence
0.0063098909
OpenAI Moderation v1 (007)
Sexual
0.0019693369
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009347539
OpenAI Moderation v1 (007)
Hate
0.0001660474
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001246415
OpenAI Moderation v1 (007)
Harassment
0.0001183645
OpenAI Moderation v1 (007)
Hate > Threatening
1.82117E-5
OpenAI Moderation v1 (007)
Self-Harm
1.33334E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.6729E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.685E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Soccer
Score:
100
Magnitude:
0.097
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Media > Advertising
Score:
98
Magnitude:
0.095
Code:
4010001
Url:
https://cv.iptc.org/newscodes/subjectcode/04010001
Wikidata_id:
Q23700481
Wikidata_label:
advertising industry
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.4
Flesch-Kincaid Ease
54.7
Gunning-Fog Score
14.2
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
9
Dale-Chall Readability Score
4.9
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Jeff Zients
00:14:35-00:15:01 (26 sec)No Signal (0.504)
I think one thing I'd add there is: It's an interesting hub-and-spoke model, where these centers are located near underserved, hardest-hit communities, but we also are using mobile units in each of those centers to go directly to the communities. So I think this hub-and-spoke model might also be a best practice for other centers across the country to ensure that we're reaching the hardest-hit communities.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
3.04452
VADER
0.922
Very Positive
Moderation
Harassment > Threatening
0.0207322897
OpenAI Moderation v1 (007)
Violence
0.0083032573
OpenAI Moderation v1 (007)
Harassment
0.0012977442
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005514759
OpenAI Moderation v1 (007)
Sexual
0.0003237135
OpenAI Moderation v1 (007)
Self-Harm
7.14735E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.66245E-5
OpenAI Moderation v1 (007)
Hate
4.06249E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.83214E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.40053E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1646E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Computing and Information Technology > Telecommunication Equipment
Score:
100
Magnitude:
0.256
Code:
4003006
Url:
https://cv.iptc.org/newscodes/subjectcode/04003006
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Computing and Information Technology > Networking
Score:
65
Magnitude:
0.165
Code:
4003002
Url:
https://cv.iptc.org/newscodes/subjectcode/04003002
Wikidata_id:
Q10336440
Wikidata_label:
computer networking
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
44.6
Gunning-Fog Score
17.7
Coleman-Liau Index
11
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
17
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Sexual
0.012823139
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009918111
OpenAI Moderation v1 (007)
Violence
0.0007325314
OpenAI Moderation v1 (007)
Harassment
0.0006194679
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002115064
OpenAI Moderation v1 (007)
Self-Harm
0.0001439895
OpenAI Moderation v1 (007)
Harassment > Threatening
8.54092E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.86953E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.47315E-5
OpenAI Moderation v1 (007)
Hate
1.52816E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.19E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.6
Coleman-Liau Index
4.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0