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Record W2098658010 · doi:10.3109/02699052.2010.506635

Work-related mild–moderate traumatic brain injuries due to falls

2010· article· en· W2098658010 on OpenAlexafffundabout
Wen‐Li Wei, Margaret Liu, Jennifer Fergenbaum, Paul Comper, Angela Colantonio

Bibliographic record

VenueBrain Injury · 2010
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsPublic Health OntarioToronto Rehabilitation InstituteUniversity of Toronto
FundersToronto Rehabilitation InstituteOntario Ministry of Health and Long-Term CareOntario Neurotrauma FoundationWorkplace Safety and Insurance Board
KeywordsRehabilitationOccupational safety and healthInjury preventionMedicineHuman factors and ergonomicsMedical recordPoison controlTraumatic brain injuryPhysical therapySuicide preventionPhysical medicine and rehabilitationMedical emergencySurgeryPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: Workplace falls are a common cause of head injuries; however, detailed study of this is limited. The objective of the study was to examine the person, environment and occupation factors associated with work-related traumatic brain injuries (WrTBI) due to falls from elevation (FFE) and falls from the same level (FFSL). METHODS: This study is a retrospective chart review. Data was extracted from consecutive medical records of workers who sustained a head injury at work and were referred to the Toronto Rehabilitation Institute for clinical assessment. RESULTS: FFE were more likely to occur in men and result in multiple traumas, compared to FFSL. FFSL occurred more equally among men and women. Slippery conditions and placement of objects were common for WrTBI due to FFSL. Change in elevation was common for WrTBI due to FFE. WrTBI due to FFE most often occurred in trades, transport occupations and the construction industry, whereas WrTBI due to FFSL most often occurred in professional, management, skilled positions and the manufacturing industry. CONCLUSIONS: Types of falls resulting in brain injury and their mechanisms of injury vary across industries and occupations. The study provides information for more tailored workplace safety strategies and primary prevention across industries.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.003

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 head0.047
GPT teacher head0.348
Teacher spread0.301 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2010
Admission routes3
Has abstractyes

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