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Record W1617314916 · doi:10.3233/wor-2003-00289

Falls from trucks: A descriptive study based on a workers compensation database

2003· article· en· W1617314916 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWork · 2003
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsWorkplace Safety & Insurance BoardUniversity of Toronto
Fundersnot available
KeywordsTruckTrailerTransport engineeringBusinessPopulationDatabaseOccupational safety and healthScope (computer science)Operations managementMedicineEngineeringMedical emergencyActuarial scienceEnvironmental healthComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Falls from heights, including falls from nonmoving trucks, are a known cause of serious workplace injuries [1,2,4,6,7,14,15]. Subsequent to the Workplace Safety and Insurance Board (WSIB) of Ontario implementing an industry sector management approach for service delivery the principle author noted a number of serious injuries as a consequence of falls from trucks or truck trailers. A literature search revealed limited articles, specifically relating to injuries sustained in falls from trucks or truck trailers. It was therefore decided to further investigate the scope of the problem. METHODS: A search of the Province of Ontario, Workplace Safety & Insurance Board (WSIB) database for the year 1997 was conducted to identify all claims, within the Transportation Sector, where a reported accident had been classified as a fall from a non-moving vehicle. The data extracted from identified claims constitutes the basis of this study. There were 1026 claims initially identified. Each identified claim was reviewed to determine if the study entry criteria; (1) a fall occurred and (2) the fall originated from a truck, its trailer or the cargo, were met. Of the identified claims 352 met the study inclusion criteria. A retrospective file review was conducted on each claim entered into the study and the study variables recorded on a predefined data sheet. RESULTS: The most frequent sites of falls were the back of the truck or trailer, the truck step and the cargo being transported. More than one injury was sustained by 23.6% of the study population. The major injuries identified included; 214 strains/sprains, 117 contusions and 101 fractures. One year post accident 89.4% of the study population had returned to work, of these 84.9% were on full duties and the remaining 4.5% were on modified duties. The total costs associated with the 352 injured workers included in this study amounted to $5,313,901.27. INTERPRETATION: Falls from trucks often result in significant injuries with considerable periods of disability and related costs. As falls from three specific locations i.e. the back of trucks/trailer, the cargo and the truck step made up 83% of the total falls efforts at prevention might best be directed to further investigate causal factors involved in the falls from these high frequency areas. A prospective study, including a detailed interview, with workers suffering a fall from a truck would assist in understanding factors that contribute to falls from trucks or truck trailers.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.136
GPT teacher head0.450
Teacher spread0.314 · 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