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Record W2186484541 · doi:10.5271/sjweh.3529

Systematic review of qualitative literature on occupational health and safety legislation and regulatory enforcement planning and implementation

2015· review· en· W2186484541 on OpenAlexaff
Ellen MacEachen, Agnieszka Kosny, Christian Ståhl, Fergal O’Hagan, Lisa Redgrift, Sarah Sanford, Christine Carrasco, Emile Tompa, Quenby Mahood

Bibliographic record

VenueScandinavian Journal of Work Environment & Health · 2015
Typereview
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsMcMaster UniversityInstitute for Work & HealthUniversity of TorontoDalhousie UniversityTrent UniversityUniversity of Waterloo
Fundersnot available
KeywordsLegislationEnforcementAgency (philosophy)Occupational safety and healthNormativePublic relationsBusinessLaw enforcementGrey literaturePoliticsPublic administrationPolitical scienceLawSociologyMEDLINESocial science

Abstract

fetched live from OpenAlex

OBJECTIVE: The ability of occupational health and safety (OHS) legislation and regulatory enforcement to prevent workplace injuries and illnesses is contingent on political, economic, and organizational conditions. This systematic review of qualitative research articles considers how OHS legislation and regulatory enforcement are planned and implemented. METHODS: A comprehensive search of peer-reviewed, English-language articles published between 1990 and 2013 yielded 11 947 articles. We identified 34 qualitative articles as relevant, 18 of which passed our quality assessment and proceeded to meta-ethnographic synthesis. RESULTS: The synthesis yielded four main themes: OHS regulation formation, regulation challenges, inspector organization, and worker representation in OHS. It illuminates how OHS legislation can be based on normative suppositions about worker and employer behavior and shaped by economic and political resources of parties. It also shows how implementation of OHS legislation is affected by "general duty" law, agency coordination, resourcing of inspectorates, and ability of workers to participate in the system. CONCLUSIONS: The review identifies methodological gaps and identifies promising areas for further research in "grey" zones of legislation implementation.

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)0.015
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.107
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
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 head0.167
GPT teacher head0.552
Teacher spread0.385 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations56
Published2015
Admission routes1
Has abstractyes

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