Is the worsening of psychosocial exposures associated with mental health? Comparing two population‐based cross‐sectional studies in Spain, 2005–2010
Bibliographic record
Abstract
AIMS: To analyze whether associations between workplace psychosocial exposures and the mental health of the working population in Spain changed between 2005 and 2010. METHODS: Two representative samples of the Spanish working population have been analyzed, 2005 (n = 5073) and 2010 (n = 3544). RESULTS: In 2010 there was a significant association between poor mental health and exposure to high Demands, low Social Support and high Insecurity over working conditions, and exposure to high Insecurity over losing the job only for men. In 2005 there was a significant association with exposure to high Demands and low Social Support. CONCLUSION: Changes in the associations between psychosocial risks and mental health may be related to the socioeconomic context marked by the rise in unemployment and the destruction of jobs as a result of the 2008 economic crisis.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".