Understanding the Relationship between Parental Work Schedules and Obesity in Children
Bibliographic record
Abstract
***Preliminary Work. Please do not cite*** Abstract: Using a nationally representative data set of Canadian children, ages two to eleven, we examine differences in the likelihood of childhood overweight and the likelihood of childhood obesity in two-parent families between parents who work standard schedules and parents who work non-standard schedules. We find that children from families where the mother works a non-standard schedule and the father works a standard schedule have 42 % higher odds of being overweight and 71 % higher odds of being obese than children whose parents both work standard schedules. Children whose parents both work non-standard schedules have 40 % higher odds of being obese. We estimate propensity score matching models and fixed effect models to control for unobserved heterogeneity. The propensity scores models finds smaller effects than the logit models. The fixed-effect models find no detrimental effect of non-standard schedules and when both parents work non-standard schedules there is lower likelihood obesity.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".