MétaCan
Menu
Back to cohort
Record W3120837576 · doi:10.28984/drhj.v4i1.314

Underground workers who received aluminum dust prophylaxis and its personal impact

2021· article· en· W3120837576 on OpenAlexaffvenueabout
Danielle Aubin, Nancy Lightfoot, Alain P. Gauthier, Daniel Côté, Victoria H Arrandale

Bibliographic record

VenueDiversity of Research in Health Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsLaurentian University
Fundersnot available
KeywordsEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

Background From 1943 to 1980, some underground gold and uranium workers in Ontario, Canada were required to inhale aluminum dust daily for silicosis prevention. This study explored the perceived personal impact of aluminum dust exposure for some Northeastern Ontario workers. Methods This qualitative descriptive study included 16 respondents who participated in individual semi-structured interviews. All respondents were Northeastern Ontario workers who were exposed to aluminum dust prophylaxis for at least one year. Interviews were transcribed verbatim and analyzed thematically. Results Themes that emerged included: 1) compulsory exposure, 2) hesitancy to complain, 3) feelings of betrayal, and 4) concerns about health impact and dying. Conclusion Exposed workers perceived that their long-term health was impacted on a personal level. The results will contribute to the literature about workplace aluminum dust exposures and to better inform workers and companies about exposure impact and management of aluminum dust.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.312
Threshold uncertainty score0.621

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.164
GPT teacher head0.443
Teacher spread0.279 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueDiversity of Research in Health JournalSame topicEnvironmental Justice and Health DisparitiesFrench-language works237,207