Family Matters: Household Size in Relation to the Well-Being of Aboriginal School-Aged Children Living Off-Reserve
Bibliographic record
Abstract
Using a life-course perspective and data taken from the 2006 Aboriginal Peoples Survey (APS) Children and Youth supplement, this study applies a creative analytical approach using combined regression techniques and a two-way interaction effect between Aboriginal family structure (lone-parent families and coupled families) and household size to examine the effects on three dimensions of Aboriginal children’s well-being. In all three regression models, household size had a noticeable effect in relation to different family structures (i.e., lone-parent compared to coupled families) and on children’s well-being outcomes, while controlling for other important social and economic factors such as age, gender of parent, and income. The most valuable finding in this study is that, regardless of whether a child resides in a lone-parent family or a coupled family, the number of people living in the household has an effect on their well-being. In particular, the findings show that as household size increases, a child’s engagement in social activities increases, their parent(s) perceive them to be better school performers, and the number of chronic health conditions they have decreases.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".