Consumo de drogas y violencia laboral en mujeres trabajadoras de Monterrey, N. L., México
Bibliographic record
Abstract
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.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".