The politics and policies of sleep? Empirical findings and the policy context
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Public policies aim to promote the social good, but they do not always meet this goal. We argue that to improve policy and policy analysis, it is important to pay attention to the cumulative effect of policies on how people use their time. In this study, we looked at the effect of certain policies on sleep. Our exploratory study yielded intriguing findings on sleep in Israel in the specific policy context of a dual burden of work and caregiving. We surveyed 671 participants on the effect of work and care hours on sleep. The findings showed participants slept an average of 6.6 hours and expressed the desire to sleep one hour more. The desire to sleep more was higher than for all other uses of time and was evident in all employment categories. Part-time workers slept more than full-time workers and women, and younger people asked to sleep more than older ones. Long work hours and care hours led to lower sleep hours. Our findings suggest the need to be aware of possible ‘side effects’ in the policy design stage and are relevant to other countries with a care-work burden.
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.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it