MétaCan
Menu
Back to cohort
Record W2492653739 · doi:10.3233/wor-162336

Construction fatality due to electrical contact in Ontario, Canada, 1997–2007

2016· article· en· W2492653739 on OpenAlexafffundabout
Il Hwan Kim, John Lewko, Enzo Garritano, Bhanu Sharma, Joel Moody, Angela Colantonio

Bibliographic record

VenueWork · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsCanadian Public Health AssociationPublic Health OntarioUniversity of TorontoToronto Rehabilitation InstituteLaurentian University
FundersCanadian Institutes of Health ResearchToronto Rehabilitation InstituteOntario Neurotrauma Foundation
KeywordsElectricityOccupational safety and healthChristian ministryConstruction industryEnvironmental healthBusinessForensic engineeringEngineeringMedicinePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Electrical contact is a leading cause of occupational fatality in the construction industry. However, research on the factors that contribute to electricity-related fatality in construction is limited. OBJECTIVES: To characterize, using an adapted Haddon's Matrix, the factors that contribute to electricity-related occupational fatalities in the construction industry in Ontario, Canada. METHODS: Coroner's data on occupational electricity-related fatalities between 1997-2007 in the construction industry were acquired from the Ontario Ministry of Labour. Using an adapted Haddon's Matrix, we characterized worker, agent, and environmental characteristics of electricity-related occupational fatalities in the province through a narrative text analysis. RESULTS: Electrical contact was responsible for 15% of all occupational fatalities among construction workers in Ontario. Factors associated with said occupational fatalities included direct contact with electrical sources, lower voltage sources, and working outdoors. CONCLUSIONS: This study provides a profile of electricity-related occupational fatalities among construction workers in Ontario, and can be used to inform safety regulations.

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 categoriesInsufficient 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 score0.091
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.049
GPT teacher head0.399
Teacher spread0.349 · 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.

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
Published2016
Admission routes3
Has abstractyes

Explore more

Same venueWorkSame topicOccupational Health and Safety ResearchFrench-language works237,207