A Comparison of the Mental Health of Employed and Unemployed Women in the Context of a Massive Layoff
Bibliographic record
Abstract
The purpose of this study was to assess the impact of unemployment on the mental health of women in the context of massive unemployment. Comparisons were made between the level of mental distress experienced by unemployed and employed women, in two areas of Newfoundland, Canada that were affected by the northern cod moratorium. In addition, the relationships between women's mental distress and a number of variables were explored. Questionnaires were administered to 112 unemployed and 112 employed women three years after the moratorium began. The unemployed women reported significantly poorer mental well-being in the year prior to data collection. At the time of the study, however, both groups of women were experiencing high levels of distress. The moratorium, financial problems, and feelings of uncertainty were identified as key stressors for all the women, but especially for those without work. Among the working women, past experience with unemployment and level of education had significant correlations with their mental well-being.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".