Determinants of socioemotional and behavioral well-being among First Nations children living off-reserve in Canada: A cross-sectional study
Bibliographic record
Abstract
Few studies have focused on off-reserve Indigenous children and families. This nationally representative, cross-sectional study (data collected from 2006 to 2007) examined Indigenous- and non-Indigenous-specific determinants associated with positive socioemotional and behavioral well-being among First Nations children living off-reserve in Canada. The parents or other caregivers of 2990 two-to-five-year-old children (M = 3.65; 50.6% male) reported on their children's socioemotional and behavioral well-being and a range of child, parent, and housing characteristics. Being taught an Indigenous culture, greater community cohesion, caregiver nurturance, good parental/other caregiver health, and fewer household members were associated with better socioemotional and behavioral well-being. These results highlight the importance of leveraging Indigenous-specific determinants and acknowledging non-Indigenous-specific factors, to promote the well-being of First Nations children living off-reserve.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".