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Record W67129980 · doi:10.3233/wor-2003-00316

Occupational variations in drinking and psychological distress: A multilevel analysis

2003· article· en· W67129980 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

VenueWork · 2003
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMultilevel modelSocioeconomic statusPsychological distressPsychologyMultivariate analysisDistressPopulationMultivariate statisticsClinical psychologyEnvironmental healthMedicineMental healthPsychiatry

Abstract

fetched live from OpenAlex

The relationship between alcohol intake and psychological distress has been overlooked in studies on the working population. Using a multilevel multivariate model, this study reports results obtained from a sample of 8812 workers nested in 387 occupations. Results show that alcohol intake and psychological distress vary significantly at the worker and occupation levels, but they do not show a large variation at the occupation level. Occupational socioeconomic status appears to be a common factor explaining the correlation between alcohol intake and psychological distress at the occupation level. Semi-professionals, middle management, foreman and semiskilled clerical-sales-services occupations are particularly at risk. Gender is related to both outcomes, while work schedule and number of weekly working hours are associated only with psychological distress. Implications and limitations of these results are discussed.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.751

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.064
GPT teacher head0.430
Teacher spread0.367 · 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