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Record W1974207178 · doi:10.1179/oeh.2005.11.4.398

Mining and Mendacity, or How to Keep a Toxic Product in the Marketplace

2005· article· en· W1974207178 on OpenAlexaboutno aff
Jock McCulloch

Bibliographic record

VenueInternational Journal of Occupational and Environmental Health · 2005
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAsbestosAsbestosisAsbestos fibersProduct (mathematics)SubsidiaryWork (physics)BusinessPrivilege (computing)Environmental healthMedicineLawEngineeringPolitical scienceFinanceMultinational corporation

Abstract

fetched live from OpenAlex

The corruption of medical evidence about the hazards of asbestos began with the Canadian mines. Quebec at one time boasted ten of the 13 mines in Canada. Work conditions in the mines were harsh, and the mills were full of airborne fiber. Given the size of the industry, the Quebec mines were where occupational asbestosis should first have been identified, but research at the mines was done in company towns, where clinics were staffed by company doctors. Since the late 1920s U.S. parent companies and their Canadian subsidiaries have maintained that there is little if any disease among mine workers. Asbestosis in textile workers, they have claimed, has been due to the conditions in that industry and not the inherent dangers of asbestos. That fiction continues to shape the discourse about the usefulness of asbestos.

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.031
Scholarly communication0.0080.016
Open science0.0010.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.029
GPT teacher head0.331
Teacher spread0.302 · 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 designNot applicable
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

Citations7
Published2005
Admission routes1
Has abstractyes

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