Biological, social, and environmental correlates of preschool development
Bibliographic record
Abstract
Baseline data from the Canadian National Longitudinal Survey of Children and Youth (NLSCY, a population-based study of child health, development and well-being), were used to determine biological, social and environmental correlates of poor development among preschool children. A total weighted sample of 1233 500 (n = 6982 unweighted) children aged from birth to 3 years were studied. Developmental attainment was measured by the motor, social and development (MSD) scale. Children scoring amongst the lowest 15% for their age group were categorized as having poor developmental attainment (PDA). Correlates of PDA were determined using logistic regression. The MSD scale may not be discriminatory enough to identify PDA in children aged < 1 years. Among children aged between 1 and 3 years, biological factors remain important correlates of PDA, whereas the timing of social and environmental factors appears important to their effects on developmental attainment. The findings suggest a complex relationship between risk factors and developmental outcomes. Correlates of PDA vary according to the age of a child. Social and environmental factors appear to play a larger role among older children. Prospective studies are required to determine the effect of change in risk factor profiles on child development.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".