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Record W2890943929 · doi:10.3390/ijerph15092004

Occupational Health and Safety Vulnerability of Recent Immigrants and Refugees

2018· article· en· W2890943929 on OpenAlexafffundabout
Basak Yanar, Agnieszka Kosny, Peter Smith

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2018
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsPublic Health OntarioUniversity of TorontoInstitute for Work & Health
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRefugeeVulnerability (computing)Thematic analysisImmigrationOccupational safety and healthFocus groupContext (archaeology)EmpowermentWork (physics)Environmental healthBusinessMedicinePolitical scienceQualitative researchSociologyGeographyComputer securityEngineering

Abstract

fetched live from OpenAlex

Recent immigrants and refugees have higher rates of work-related injuries and illnesses compared to Canadian-born workers. As a result, they are often labelled as vulnerable workers. This study explored the factors that contribute to occupational health and safety (OHS) vulnerability of recent immigrants and refugees with a focus on modifiable factors such as exposure to hazards and access to workplace protections, awareness of OHS and worker rights, and empowerment to act on those rights. Eighteen focus groups were conducted with 110 recent immigrants and refugees about their experiences looking for work and in their first jobs in Canada. A thematic content analysis was used to organize the data and to identify and report themes. The jobs described by participants typically involved poor working conditions and exposure to hazards without adequate workplace protections. Most participants had limited knowledge of OHS and employment rights and tended to not voice safety concerns to employers. Understanding OHS vulnerability from the lens of workplace context can help identify modifiable conditions that affect the risk of injury and illness among recent immigrants and refugees. Safe work integration depends on providing these workers with information about their rights, adequate job training, and opportunities for participating in injury prevention.

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)0.012
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.165
GPT teacher head0.533
Teacher spread0.368 · 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

Citations78
Published2018
Admission routes3
Has abstractyes

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