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Record W2021457566 · doi:10.3109/10826084.2010.543249

Occupation, Work Organization Conditions, and Alcohol Misuse in Canada: An 8-Year Longitudinal Study

2011· article· en· W2021457566 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSubstance Use & Misuse · 2011
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsMontreal Clinical Research InstituteUniversité de Montréal
Fundersnot available
KeywordsLogistic regressionLongitudinal studyMultilevel modelDemographyPopulationPsychologyLongitudinal dataEnvironmental healthMedicineStatisticsSociologyMathematics

Abstract

fetched live from OpenAlex

This study investigated the specific contribution of occupations and work organization conditions to the onset and recurrent alcohol misuse in Canadian workers between 1994-1995 and 2002-2003. Longitudinal data were derived from Statistics Canada's National Population Health Survey, totaling 6,526 and 6,582 workers (45% females) nested in 1,337 and 1,413 neighborhoods for onset and recurrent alcohol misuse, respectively. Data were analyzed with multilevel logistic regression models. Results suggested a limited contribution for work factors to the onset of alcohol misuse, a stronger influence for them on recurrent alcohol misuse. The study's limitations 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 score0.441
Threshold uncertainty score0.982

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.090
GPT teacher head0.371
Teacher spread0.281 · 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