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Record W2019849637

Consumo de drogas y violencia laboral en mujeres trabajadoras de Monterrey, N. L., México

2005· article· es· W2019849637 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

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2005
Typearticle
Languagees
FieldPsychology
TopicStress and Burnout Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHumanitiesPsychologySociologyArt
DOInot available

Abstract

fetched live from OpenAlex

El propósito de este estudio fue explorar el consumo de drogas y violencia laboral en una muestra de 669 mujeres mayores de edad, que trabajaban y vivían en trece Áreas Geoestadísticas Básicas de Monterrey, Nuevo León, México. Se adoptó un diseño descriptivo y correlacional con aproximación cualitativa. Los resultados revelaron que el 37.1% de las mujeres consumió alcohol, el 29.1% tabaco, el 0.4% marihuana, el 0.1% inhalables y, entre las drogas médicas, el 5% consumió tranquilizantes y el 1.0% otras sustancias (barbitúricos, antidepresivos, Tylenol/codeína). La prueba chi-cuadrada no encontró diferencia significativa de los factores sociodemográficos y laborales con el consumo de drogas (p>.05), a excepción de la forma de trabajo (c2=18.08, gl=4, p=.001). Sin embargo, el índice de violencia mostró asociación positiva con el consumo de drogas (p<.05). Se encontraron 126 casos que experimentaron violencia, de las cuales 34 narraron su experiencia. La percepción del consumo de drogas y violencia se identificó en 2 categorías: La Conceptualización de la Violencia Laboral y la Relación entre la Violencia y el Consumo de Drogas.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.880
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.027
GPT teacher head0.305
Teacher spread0.278 · 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