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Record W7027673924

COVID-19 Survey in the Municipality of Anchorage, June 16-18: Highlights

2020· report· en· W7027673924 on OpenAlexaboutno aff

Bibliographic record

VenueScholarWorks - UA (University of Alaska System) · 2020
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPhoneMandateSurvey researchQuarter (Canadian coin)Occupational safety and healthPublic health
DOInot available

Abstract

fetched live from OpenAlex

An online survey of a panel of 295 Anchorage residents 18 years old and older was conducted June 16-18, 2020. This was the fourth survey since May 2020 conducted by the Municipality of Anchorage (MOA) regarding COVID-19 related knowledge, attitudes, and behaviors. The first survey in the series was a population-based cell phone survey of Anchorage residents conducted May 6-10. The second (May 20-22) third (June 2-4) and fourth (June 16-18) surveys were conducted online with a panel of participants from the first survey. Key findings from the fourth survey included:  Most respondents (72%) wore a mask most or all of the time outside their home.  Most (90%) spent time outside their home the day before the survey.  Most (64%) supported mandating wearing masks either “now” or “later.”  Almost half (47%) had physical contact with someone not in their household.  Most (76%) came within six feet of someone not from their household.  Most (91%) felt somewhat knowledgeable or very knowledgeable about MOA COVID-19 emergency orders.  COVID-19 related risk behaviors increased among those who: o Had less than a college degree o Were younger (<45 years) o Had lower perceived threat of COVID-19 o Were less likely to bring a mask when they went out o Were less likely to wash or sanitize hands when touching things touched by others. Compared with previous surveys, more respondents are leaving their homes and coming into physical contact with others. However, most survey respondents also reported wearing masks outside their home, supported a mandate to wear masks, and did not have physical contact with others. KEY MESSAGES As a whole, panel respondents reported positive COVID-19 mitigation behaviors. Messaging could continue to employ the need for personal responsibility to reduce risk, while emphasizing community/societal responsibility and benefit. Integrated communications with key education partners (ASD, UAA, APU, etc.) could also help reach groups associated with COVID-19 related risk behaviors. To encourage increased receptiveness to mitigation behaviors, messaging could try to incorporate affinity group imagery and rhetorical framing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.309

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.127
GPT teacher head0.315
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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