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What industries received COVID-19 closure orders? A cross-state comparison in the US

2020· preprint· en· W3044734118 on OpenAlexaff
Philip Jacobs, Arvi P. Ohinmaa

Bibliographic record

VenueF1000Research · 2020
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicCOVID-19 Pandemic Impacts
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBlueprintClosure (psychology)Coronavirus disease 2019 (COVID-19)BusinessVariety (cybernetics)State (computer science)Government (linguistics)Economic growthPolitical scienceEconomicsEngineeringMedicineLawComputer science

Abstract

fetched live from OpenAlex

<ns4:p>The United States federal government developed a COVID-19 blueprint for states to follow; it included the issuance by state/local governments of “stay at home” orders coupled with lists of essential services. Suppliers of these services would be exempt from closure so their workers could fulfill their essential functions. The blueprint was embraced by the states in a variety of ways. In this paper, we identify how business closure rules were enacted across the states for each of 15 types of services. The outcome measures were: “open” “open with restrictions” and “closure”.</ns4:p> <ns4:p>For six business types, most states permitted businesses to open. In four types, businesses were mainly closed. In three, they were allowed to open with restrictions. In the rest, there was a mixture of outcomes. In sum, the federal blueprint resulted in a regulatory patchwork as it spread throughout the country.</ns4:p>

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0030.001
Open science0.0030.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0010.001

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 head0.291
GPT teacher head0.426
Teacher spread0.134 · 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; both teacher heads agree on what is shown here.

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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