MétaCan
Menu
Back to cohort
Record W1492889628 · doi:10.54648/ijcl2007020

Exploring the Spectrum of Labour/Management Participation Within Safety Regimes: Occupational Health and Safety in Ontario (Canada), Sweden and the United States

2007· article· en· W1492889628 on OpenAlexaboutno aff
Jason Lakhan

Bibliographic record

VenueInternational Journal of Comparative Labour Law and Industrial Relations · 2007
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational safety and healthBusinessPolitical scienceLaw

Abstract

fetched live from OpenAlex

Increasingly, workers are demanding greater input into working conditions. Nowhere in the management/labour dynamic is this more evident than in the area of occupational health and safety, but standards vary significantly across the globe. The occupational health and safety regimes in Ontario, Canada, Sweden and the United States have been born out of radically different national, political and labour landscapes. This paper aims to describe how these competing visions have manifested themselves within their respective work environments and their effect upon the labour/management relationship. A unique feature of this paper is the utilization of the author’s personal professional experience within the occupational health and safety enforcement mechanism in Ontario, Canada. The personal anecdotal information informs the discussion of the competing enforcement mechanisms being employed in the comparator jurisdictions. Other areas of comparison include the varying degrees of responsibilities of workplace stakeholders, non-disciplinary mechanisms in the use and effects of organized labour upon the regimes. The unique external influence of European Union initiatives on Sweden’s regime is also discussed. Ultimately, the work is a discussion of workplace power dynamics within three very different safety regimes and was written with an eye to stimulating discussion in the ongoing dialogue on workplace safety.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.234
GPT teacher head0.443
Teacher spread0.209 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Comparative Labour Law and Industrial RelationsSame topicOccupational Health and Safety ResearchFrench-language works237,207