Bibliographic record
Abstract
OBJECTIVES: This study examines the relationship between the dissolution of a marital or cohabitating relationship and subsequent depression among Canadians aged 20 to 64. DATA SOURCES: Data are from the longitudinal component of the National Population Health Survey (1994/1995 through 2004/2005) and include the household population only. ANALYTICAL TECHNIQUES: Cross-tabulations were used to examine the association of marital dissolution with change in household income, social support, presence and number of children in the household and employment status over a two-year period. Multiple logistic regression was used to examine associations between marital dissolution and depression over a two-year period among those who had not been depressed two years earlier, while controlling for these changes. To maximize sample size, pooling of repeated observations was used. MAIN RESULTS: For both sexes, dissolution of a marriage or co-habiting relationship was associated with higher odds of a new episode of depression, compared with those who remained with a spouse over the two-year period. When the influences of possible confounders were considered, the association between a break-up and depression was weakened, but persisted. Marital dissolution was more strongly associated with depression among men than among women.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".