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Record W2461635821 · doi:10.3233/wor-162339

Sex differences in work-related traumatic brain injury due to assault

2016· article· en· W2461635821 on OpenAlexaffabout
Tatyana Mollayeva, Shirin Mollayeva, John Lewko, Angela Colantonio

Bibliographic record

VenueWork · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsOntario Brain InstituteLaurentian UniversityToronto Rehabilitation InstituteUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsTraumatic brain injuryPsychologySexual assaultMedical emergencyInjury preventionClinical psychologyPoison controlMedicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: To examine the etiology, prevalence and severity of assault-precipitated work-related traumatic brain injury (wrTBI) in Ontario, Canada through a sex lens. METHODS: Cross-sectional study using data abstracted from the Ontario Workplace Safety and Insurance Board (WSIB) claims files in 2004. Descriptive analyses were conducted to determine the distribution of worker/employment/incident characteristics. RESULTS: Workplace physical violence that resulted in a TBI accounted for 6.6% percent of all TBI injury claims. Female workers, primarily in the health care/social services sector, accounted for over half of all TBIs. Most workers were assaulted by consumers/clients. Forty five percent of injuries occurred among workers with less than 3 years of employment. CONCLUSIONS: This paper identifies profiles of workers and workplaces for targeted preventive efforts. Future studies are needed to further address risk factors by sex and outcomes, such as length of disability and health care cost.

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 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 score0.296
Threshold uncertainty score0.992

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.029
GPT teacher head0.300
Teacher spread0.271 · 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 teacher head, 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

Citations15
Published2016
Admission routes2
Has abstractyes

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