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Record W4324137843 · doi:10.1136/oem-2023-epicoh.36

O-180 CAREX Canada: prevalence and level of occupational asbestos exposure in Canada in 2016

2023· article· en· W4324137843 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAbstracts · 2023
Typearticle
Languageen
FieldMedicine
TopicHealthcare Systems and Public Health
Canadian institutionsBC Centre for Disease ControlOccupational Cancer Research CentreHealth CanadaUniversity of Calgary
Fundersnot available
KeywordsAsbestosEnvironmental healthCensusConstruction industryPopulationOccupational exposureGeographyMedicineBusinessDemographyEngineering

Abstract

fetched live from OpenAlex

<h3>Introduction</h3> Despite a federal asbestos ban, occupational asbestos exposure persists in Canada due to asbestos in older buildings and other legacy products or lingering imported materials. We updated CAREX Canada’s prevalence of exposure estimate from 2006 to 2016, and assessed the level of occupational exposure by industry, occupation, province/territory, and sex. <h3>Material and Methods</h3> Labour force data from the 2016 Census of Population and proportions of workers exposed by occupation and industry, which were previously developed for 2006 and updated here to reflect new knowledge and changes in exposures, were combined to estimate exposure by occupation (4-digit 2016 NOC), industry (4-digit 2012 NAICS), province/territory, and sex. Changes between the 2006 and 2016 job and industry coding systems were accounted for using Statistics Canada concordance tables. Levels of exposure (low, moderate, high), were qualitatively assigned for each occupation and industry intersection using expert assessment, considering workers’ proximity and access to asbestos-containing material, and the condition and content of asbestos. <h3>Results</h3> Approximately 235,000 workers (1.5%) are occupationally exposed to asbestos in Canada in 2016. Most are male (89%) and in the low (49%) or moderate (46%) exposure categories. The construction sector and associated jobs (e.g. carpenters, trades helpers and laborers) account for the majority; an estimated 157,000 workers are exposed in the industry, followed by public administration (29,000) and health care and social assistance (19,000). Other occupations with exposed workers include janitors, caretakers, and building super intendents (19,000) and light duty cleaners (12,000). The estimated prevalence of workers exposed increased from 2006 to 2016 due to increases in the labour force and the addition of some previously unrecognized groups. <h3>Conclusions</h3> Workers continue to be exposed to asbestos in Canada. Our results illustrate the shift from high exposures to lower-level exposures, which are associated with remaining asbestos-containing materials in the built environment.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.962

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 studies0.0000.000
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 head0.118
GPT teacher head0.341
Teacher spread0.223 · 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