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Record W1964722919 · doi:10.5271/sjweh.3124

Shift work trends and risk of work injury among Canadian workers

2010· article· en· W1964722919 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueScandinavian Journal of Work Environment & Health · 2010
Typearticle
Languageen
FieldPsychology
TopicSleep and Work-Related Fatigue
Canadian institutionsOccupational Cancer Research CentreUniversity of British Columbia
FundersCanadian Institutes of Health ResearchWorkSafeBC
KeywordsShift workOccupational injuryOdds ratioConfidence intervalConfoundingLogistic regressionMedicineWork (physics)DemographyOccupational safety and healthInjury preventionPopulationPoison controlGerontologyEnvironmental healthInternal medicinePsychiatryEngineeringSociology

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of this study was to examine the risk of work injury across shift work types in a -representative sample of Canadian workers. METHODS: We used the Survey of Labour and Income Dynamics to investigate trends in work injury by shift type between 1996-2006. Work injury was defined by receipt of workers' compensation. Logistic regression was used to estimate the risk between shift type and worker injury after adjusting for potential confounders. RESULTS: The rate of work injury decreased overall between 1996-2006, but did not decline for night shift -workers. Night shift work was associated with work injury for women [odds ratio (OR) 2.04, 95% confidence interval (95% CI) 1.13-3.69] and men (OR 1.91, 95% CI 1.21-3.03), while rotating shift work was associated with work injury for women (OR 2.29, 95% CI 1.37-3.82). The excess risk of work injury attributed to shift work was 14.4% for women and 8.2% for men based on population attributable fraction estimates. CONCLUSIONS: Rotating and night shift workers appear to have a higher risk of work injury, particularly among women. Regulatory agencies and employers need to identify and mitigate factors that give rise to increased work injury among these types of shift workers.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.254
Teacher spread0.246 · 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