Marital breakdown and subsequent depression.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 it