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Record W1984106339 · doi:10.1590/0102-311x00176213

Clase social, factores de riesgo psicosocial en el trabajo y su asociación con la salud autopercibida y mental en Chile

2014· article· es· W1984106339 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCadernos de Saúde Pública · 2014
Typearticle
Languagees
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesPsychologySociologyPhilosophy

Abstract

fetched live from OpenAlex

El objetivo fue examinar la relación entre clase social, riesgo psicosocial laboral y la salud autopercibida y mental en Chile. Se trata de un estudio transversal con los datos de la Primera Encuesta Nacional de Condiciones de Empleo, Trabajo, Calidad de Vida y Salud de los Trabajadores y Trabajadoras en Chile (N = 9.503). Las variables dependientes son: salud mental y salud autopercibida. Las variables explicativas son: clase social neo-marxista, factores de riesgo psicosocial y privación material. Se realizaron análisis descriptivos y de regresión logística. Existen desigualdades en la distribución de los factores exposición laboral a riesgos psicosociales, según clase social y sexo. Además, la clase social y los factores de riesgo psicosocial en el trabajo están asociados a una distribución desigual de la salud autopercibida y salud mental entre la población trabajadora en Chile. Las intervenciones en el área de la salud de los trabajadores deben considerar la clase social y los factores de riesgo psicosocial a que están expuestos los trabajadores.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.019
GPT teacher head0.380
Teacher spread0.360 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it