COVID-19: Child Care Tax Provisions in H.R. 7327 [July 24, 2020]
Bibliographic record
Abstract
From the Document: The Coronavirus Disease (COVID-19) pandemic has broadly impacted child care in the United States Surveys conducted in April of both working families with young children and child care providers found that the majority of child care providers had fully closed or reduced their enrollment Data from the Bureau of Labor Statistics suggest that the number of child care workers decreased by about one-third between March and April [ ] and about one-quarter between March and June, with the latter number potentially reflecting the effects of states partially reopening Parents and providers have questions about if and when child care facilities will be able to reopen safely The COVID-19 pandemic has also amplified concerns about child care affordability As Congress continues to debate whether more needs to be done to address child care at the federal level, the House Rules Committee recently reported a resolution that would allow the House to consider two bills related to child care One of those bills, the Child Care for Economic Recovery Act (H R 7327), includes several tax provisions, as summarized in this Insight Child care--Taxation;Economics;Disaster recovery
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.026 | 0.013 |
| Insufficient payload (model declined to judge) | 0.036 | 0.031 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".