Síntomas depresivos y distrés laboral en trabajadores chilenos: condiciones diferenciales para hombres y mujeres
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
This article assessed depressive symptoms associated with work-related psychosocial risk factors according to gender in Chile, using the demand-control model (Karasek) and effort-reward imbalance (Siegrist). A cross-sectional study was conducted in a random sample of 3,010 workers (35% female and 65% male) from the country. Data analysis determined prevalence and associations through various statistical techniques (χ2, logistic regression). Exposure to psychosocial risk factors at work and prevalence of depressive symptoms were higher in women than men (15% vs. 5%). The adjusted analysis highlighted that female workers exposed to Isostrain (OR = 2.34; 95%CI: 1.42-3.85) and low rewards (OR = 2.13; 95%CI: 1.41-3.21) and male workers exposed to psychological demands (OR = 3.04; 95%CI: 1.94-4.76) and effort-reward imbalance (OR = 2.19; 95%CI: 1.39-3.46) had increased risk of depressive symptoms. Exposure to work-related psychosocial risk factors was associated with depressive symptoms in Chilean workers. Effective prevention in key aspects of work organization is thus needed.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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