Canadian portrait of changes in family structure and preschool children’s behavioral outcomes
Bibliographic record
Abstract
Whereas US-based data have contributed to our understanding of family composition changes over the last decades, data on Canadian families are limited, and previous studies have stressed the need for in depth, longitudinal investigations. This article begins to fill this gap in the literature by providing a current and detailed portrait of family composition changes from 1996 to 2008 (Study 1). Additionally, we performed an analysis of the role of specific child, parent and family characteristics, in interaction with family composition and family transition, in predicting pre-school children’s behavioral outcomes (Study 2). Using nationally-representative Canadian data collected from the National Longitudinal Survey of Children and Youth (NLSCY), we focus our inquiry on a mean sample for 0–5-year-olds of 2,866 children at cycle 8 (2008). Results show increases in non-traditional family households over time, as well as significant relationships between child characteristics, household characteristics, and family processes in predicting three behavioral outcomes: emotional problems, hyperactivity/impulsivity, and physical aggression.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".