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Record W3021985043 · doi:10.1136/oem-2019-epi.30

O1E.4 Electronic waste recycling in québec, canada: hiring practices and occupational health and safety management

2019· article· en· W3021985043 on OpenAlexaffabout
Sylvie Gravel, Daniel Côté, Stéphanie Gladu, France Labrèche

Bibliographic record

VenueOccupational and Environmental Medicine · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsUniversité de MontréalInstitut de recherche Robert-Sauvé en santé et en sécurité du travailUniversité du Québec à Montréal
Fundersnot available
KeywordsOccupational safety and healthWorkforceStaffingPersonal protective equipmentBusinessThematic analysisEnvironmental healthMedicineQualitative researchNursingSociology

Abstract

fetched live from OpenAlex

Background and objective Electronic waste recycling (e-recycling) has received little attention from an occupational health and safety (OHS) perspective. Our objective was to describe hiring and OHS management practices in a sample of formal e-recycling facilities. Methods Within a cross-sectional study of exposure of e-recycling workers to various contaminants, we conducted semi-structured face-to-face interviews with a sample of 26 workers and 6 managers, employed in four companies. Thematic analyses, followed by a matrix analysis based on the companies’ missions were conducted on the recorded interviews. Results Three companies are small enterprises: one receives young offenders/ex-prisoners for up to six months of vocational internships; another is a private company recruiting its workforce through governmental programs integrating people with chronic health problems; the third, a family business, mainly employs workers within neighbouring communities. Lastly, a medium-sized unionized company recruits its employees through staffing agencies, offering permanent jobs to the best candidates after a three-month trial period. Most participants were male, aged between 20–50 years old, and had not completed high school, except for a few recent immigrants with graduate degrees. Regarding occupational hazards in their workplace, 40% of interviewees reported chemicals, 31% mentioned the danger of being struck by lift trucks, and less than 25% identified toxic vapours, inappropriate protective personal equipments (PPEs), cuts, dusts, musculoskeletal or back pain. Some workers expressed concern about the pace of work (and resulting stress), which they identified as an injury risk factor. None of the participants received any mentoring upon entering the job. Agency workers had inferior wages and did not have access to the same OHS preventive practices or PPEs as regular workers. Conclusions In our sample, OHS management practices varied according to the employment relationship, although workers are exposed to similar working conditions. Working conditions in the growing e-recycling industry need our attention.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.245
Teacher spread0.236 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

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