Clase social, desigualdades en salud y conductas relacionadas con la salud de la población trabajadora en Chile
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
OBJECTIVE: To analyze links between social class and health-related indicators and behaviors in Chilean workers, from a neo-Marxian perspective. METHODS: A cross-sectional study based on the First National Survey on Employment, Work, Health, and Quality of Life of Workers in Chile, done in 2009-2010 (n = 9 503). Dependent variables were self-perceived health status and mental health, examined using the General Health Questionnaire (GHQ-12). Health-related behavior variables included tobacco use and physical activity. The independent variable was neo-Marxian social class. Descriptive analyses of prevalence were performed and odds ratio (OR) models and 95% confidence intervals (95%CI) were estimated. RESULTS: Medium employers (between 2 and 10 employees) reported a lower prevalence of poor health (21.6% [OR 0.68; 95%CI 0.46-0.99]). Unskilled managers had the lowest mental health risk (OR 0.43; 95%CI 0.21-0.88), with differences between men and women. Large employers (more than 10 employees) reported smoking the least, while large employers, expert supervisors, and semi-skilled workers engaged in significantly more physical activity. CONCLUSIONS: Large employers and expert managers have the best health-related indicators and behaviors. Formal proletarians, informal proletarians, and unskilled supervisors, however, have the worst general health indicators, confirming that social class is a key determinant in the generation of population health inequalities.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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