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

2005· article· es· W1706651153 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

VenueRevista Latino-Americana de Enfermagem · 2005
Typearticle
Languagees
FieldPsychology
TopicStress and Burnout Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDrugConsumption (sociology)MedicineOccupational safety and healthEnvironmental healthSubstance abuseConceptualizationPsychiatryDemographySociologySocial science

Abstract

fetched live from OpenAlex

The purpose of this study was to explore drug consumption and occupational violence in a sample of 669 adult women, working and living in 13 basic geostatistical areas of Monterrey, Nuevo León, México, using a descriptive correlational design with a qualitative approach. Results indicated that 37.1% of women consumed alcohol, 29.1% tobacco, 0.4% marihuana, 0.1% inhalants, and, among medical drugs, 5% consumed tranquilizers, and 1% other substances (barbiturates, antidepressive agents, Tylenol/codeine). The c2 test found no significant difference between sociodemographic and occupational factors and drug consumption (p<.05), except for the work form (c2=18.08, gl=4, p=.001). However, violence rate showed a positive association with drug consumption (p<.05). This study found 126 cases of violence, 34 of which narrated their experience. Drug consumption and violence perception was identified in 2 categories: Conceptualization of Occupational Violence and Relationship between Violence and Drug Consumption.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.031
GPT teacher head0.384
Teacher spread0.353 · 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