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Legal protections governing the occupational safety and health and workers’ compensation of temporary employment agency workers in Canada: reflections on regulatory effectiveness

2011· article· en· W2337115623 on OpenAlexafffundabout
Katherine Lippel, Ellen MacEachen, Ron Saunders, Natalia Werhun, Kosny Agnieszka, Mansfield Liz, Christine Carrasco, Diana Pugliese

Bibliographic record

VenuePolicy and Practice in Health and Safety · 2011
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsInstitute for Work & HealthUniversity of TorontoHealth CanadaUniversity of Ottawa
FundersWorkplace Safety and Insurance Board
KeywordsOccupational safety and healthAgency (philosophy)LegislationWorkers' compensationBusinessEarningsIncentiveCompensation (psychology)Work (physics)Effective safety trainingVariety (cybernetics)Labour economicsOccupational health nursingHealth careEconomicsFinanceHealth policyEconomic growthEngineeringPolitical scienceLaw

Abstract

fetched live from OpenAlex

This paper examines the effectiveness of occupational safety and health and workers’
\ncompensation legislation in Ontario and Québec when temporary employment agencies (TEAs) are involved in the employment relationship. Relying on a comparative approach using classic legal analysis and interview data, the paper identifies specific mechanisms by which the legislation succeeds or fails to protect temporary employment agency employees.
\nIssues of importance with regard to workers’ compensation stem in large part from the nature of the triangular employment relationship, but are also attributable to the specificities of working on-call in a variety of locations and the vulnerability of workers hired through temporary employment agencies. Accidents may be more likely to go unreported for a variety of reasons, while the cost of compensation may be lower because benefits depend solely on pre-injury earnings rather than on the impact of the injury on earning capacity. This, in turn, affects incentives for employer participation in return-to-work programmes and undermines the rationale for ‘experience rating’.
\nThe primary challenges regarding the prevention of injury and disease affecting workers placed by temporary employment agencies arise because of disorganisation associated with triangular and cascading employment relationships, which makes it difficult to ensure the adequate training of workers, the provision of appropriate safety equipment and adequate representation in joint health and safety committees. At best, temporary agencies inspect workplaces before placing workers, yet they are ill equipped to identify hazards and have little control over the work required of the worker.
\nThe use of temporary agency workers is attractive to client employers because they thus avoid the costs of compensation and the unpleasantness associated with the aggressive contesting of claims. In Ontario, prevention strategies are still required of client employers because both the client and the agency may be liable for occupational health and safety violations. This is less clear in Québec, although client employers may sometimes be held accountable through experience rating. The Ontario occupational safety and health legislative framework, as applied by the regulators and the courts, is more likely than the Québec framework to meet at
\nleast some of the occupational safety and health needs of workers employed by temporary employment agencies. However, the Québec workers’ compensation framework meets more of the workers’ compensation needs of temporary employment agency workers than that of Ontario. In both provinces, legislative reform could improve the scope and effectiveness of the legislation, and this paper includes detailed recommendations in this regard.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
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
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.207
GPT teacher head0.489
Teacher spread0.282 · 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

Citations32
Published2011
Admission routes3
Has abstractyes

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