What industries received COVID-19 closure orders? A cross-state comparison in the US
Bibliographic record
Abstract
<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>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".