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Record W2109675844 · doi:10.2182/cjot.2012.79.4.5

Work-Related Injuries in Canadian Occupational Therapy Practice

2012· article· en· W2109675844 on OpenAlexaffvenueabout
Andrea P. Dyrkacz, Lonita Y. M. Mak, Carol Heck

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2012
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsToronto Western HospitalUniversity Health Network
Fundersnot available
KeywordsOccupational safety and healthOccupational therapyMedicineOccupational injuryContext (archaeology)Work (physics)Human factors and ergonomicsInjury preventionSuicide preventionPoison controlFamily medicinePhysical therapyMedical emergency

Abstract

fetched live from OpenAlex

BACKGROUND: No studies investigate work-related injuries experienced by Canadian occupational therapists. PURPOSE: To identify the nature and prevalence of work-related injuries, impact of practice context, cultural and structural factors that influence response to these injuries, and strategies used to manage return-to-work after injury. METHODS: Members of the Canadian Association of Occupational Therapists were sent an electronic survey in June 2009. FINDINGS: Over half of the 600 respondents reported at least one injury episode. Patient-handling and equipment-related incidents accounted for the largest proportion of injuries. Almost one-third of respondents reported being threatened at work or experiencing workplace violence. IMPLICATIONS: Injured occupational therapists tended to minimize the extent and impact of their injuries by underreporting incidents and continuing to work after injury. These behaviours may contribute to a failure to recognize the reality of work-related injuries in occupational therapy practice and thereby limit the development of profession-specific, risk-minimization strategies.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.382
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.279
GPT teacher head0.520
Teacher spread0.242 · 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

Citations22
Published2012
Admission routes3
Has abstractyes

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