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Record W1890189423 · doi:10.1002/ajim.22303

Are age‐related differences in the consequence of work injury greater when occupational physical demands are high?

2014· article· en· W1890189423 on OpenAlexafffund
Peter Smith, Amber Bielecky, Mieke Koehoorn, Dorcas Beaton, Selahadin Ibrahim, Cameron Mustard, Ron Saunders, Heather Scott‐Marshall

Bibliographic record

VenueAmerican Journal of Industrial Medicine · 2014
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsSt. Michael's HospitalUniversity of British ColumbiaInstitute for Work & HealthPublic Health OntarioUniversity of Toronto
FundersAustralian Research CouncilWorkSafeBC
KeywordsMedicineOccupational safety and healthOccupational injuryInjury preventionOccupational medicineHuman factors and ergonomicsWorkers' compensationGerontologyPoison controlWageSuicide preventionDemographyEnvironmental healthCompensation (psychology)PsychologyLabour economics

Abstract

fetched live from OpenAlex

BACKGROUND: To examine if age differences in the consequences of work injury are exacerbated when occupational physical demands are higher. METHODS: A secondary analysis of workers' compensation claims in British Columbia (N = 373,672). Regression models examined the relationship between age and health care expenditures, days of wage replacement and the occurrence of long-term-disability following a work-related injury in occupations with lower and higher physical demands. Models were adjusted for individual and injury related covariates. RESULTS: Older age and higher occupational physical demands were associated with worse work-injury outcomes. The relationship between age and each outcome was not exacerbated when occupational physical demands were higher compared to when they were lower. Counter to our hypotheses age differences in health care expenditures were smaller among women in more demanding occupations. CONCLUSIONS: In this study, we found no evidence that the relationship between age and the consequences of work injury is exacerbated when physical occupational demands are high.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.051
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.171
GPT teacher head0.446
Teacher spread0.275 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2014
Admission routes2
Has abstractyes

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