Child Care Providers' Experiences Caring For Sick Children: Implications For Public Policy
Bibliographic record
Abstract
This study examines the experiences of preschool and school-age child care providers regarding sick child care. In-depth, semi-structured interviews were conducted of child care providers at every city-sponsored preschool and afterschool program in an urban area in the United States. In addition, random sampling was used to identify home-based child care providers from a list obtained through a child care resources center. In spite of rules requiring that sick children be kept home, child care providers repeatedly described sick children whose health problems made it impossible to provide adequate care for the sick child at the same time as caring for the well children in their care. Problems arose for a range of reasons, including inability to provide sufficient attention to the sick child-s needs, inability to keep a sick child clean and well hydrated in the case of vomiting and diarrhea, spread of infectious diseases, and inability to care for healthy children adequately when meeting the needs of sick children. International public health policy implications for child care and paid family leave are discussed.
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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 | 0.017 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.014 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".