Maternal Supervision of Children During Their First 3 Years of Life: The Influence of Maternal Depression and Child Gender
Bibliographic record
Abstract
OBJECTIVE: The present study examined the effect of child gender and maternal depressive symptoms on routine supervisory practices of mothers longitudinally. METHOD: Self-report supervision practices were obtained at various time points from 3 months through 3 years of age. RESULTS: From 3 to 36 months, the quantity of time mothers reported supervising decreased from 7.1 to 6.3 hours, and the proportion of time spent in an intense style decreased from 63 to 46%, whereas that spent in a peripheral style increased from 14 to 32%. Mothers reported more time supervising girls and a greater proportion of this was in an intense style. Mothers with elevated depressive symptoms reported more time supervising but a lower proportion in an intense style. CONCLUSION: Over the first 36 months of life, routine patterns of supervision change and these vary as a function of maternal depression symptoms and child gender. Implications for child injury risk 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".