Family structure histories and high school completion: Evidence from a population based registry.
Bibliographic record
Abstract
The purpose of this paper was to use a life course approach to investigate the association between family structure histories and high school completion. Using data from a population-based data registry for the 1984 Manitoba birth cohort, we selected a sample of children born or adopted at birth into a married or cohabiting two-parent household (n = 9,493) and derived family structure histories for each child up until the age of 18. Marital disruption occurred for 1,876 children (19.8%), with 531 children (5.6%) of the total sample experiencing multiple changes in family structure. Logistic regression models showed that children who experienced marital disruption before the age of 18 were significantly less likely to complete high school than children in intact households, and that children who were younger at the time of a first change in marital status were more vulnerable than children who were older when their parents’ marriage ended. Further work is needed to elucidate the pathways that link family structure histories to child outcomes.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".