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Record W2968397247 · doi:10.1177/1048291119868805

Regulating Health and Safety and Workers’ Compensation in Canada for the Mobile Workforce: Now You See Them, Now You Don’t

2019· article· en· W2968397247 on OpenAlexafffundabout
Katherine Lippel, David Walters

Bibliographic record

VenueNEW SOLUTIONS A Journal of Environmental and Occupational Health Policy · 2019
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsWorkforceInvisibilityOccupational safety and healthBusinessWork (physics)Compensation (psychology)Workers' compensationPublic relationsLabour economicsEnvironmental healthPolitical scienceMedicinePsychologyEngineeringEconomicsLawSocial psychology

Abstract

fetched live from OpenAlex

Although much research has examined the occupational health and safety (OHS) and workers’ compensation (WC) implications of precarious employment and temporary international labor migration, little is known about the implications of diverse types of employment-related geographic mobility for regulatory effectiveness of OHS and WC. This article examines different types of extended mobility to determine regulatory effectiveness of OHS and WC protections. Based on classic legal analysis in seven Canadian jurisdictions, and interviews with key informants, we found that the invisibility of the internally mobile workforce, as well as the alternating visibility and invisibility of temporary foreign workers, contribute to reduced effectiveness of the OHS and WC regulation. Results point to the need for better protections to address working conditions, but also the hazards and challenges associated with mobility itself including getting to and from work, living at work, and maintaining work–life balance while living at the worksite.

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 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 score0.064
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.053
GPT teacher head0.370
Teacher spread0.317 · 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

Citations19
Published2019
Admission routes3
Has abstractyes

Explore more

Same venueNEW SOLUTIONS A Journal of Environmental and Occupational Health PolicySame topicEmployment and Welfare StudiesFrench-language works237,207