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Record W2901104421 · doi:10.1177/1048291118810900

Causality Advocacy: Workers’ Compensation Cases as Resources for Identifying and Preventing Diseases of Modernity

2018· article· en· W2901104421 on OpenAlexaff
Michael Gilbertson, James T. Brophy

Bibliographic record

VenueNEW SOLUTIONS A Journal of Environmental and Occupational Health Policy · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCarcinogens and Genotoxicity Assessment
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsAppealCompensation (psychology)Causality (physics)Public healthEnvironmental healthAuditBusinessRelevance (law)Public relationsPolitical scienceMedicinePsychologySocial psychologyLawAccounting

Abstract

fetched live from OpenAlex

An appeal process for an injured worker compensation case is a unique opportunity to debate and integrate evidence concerning a potential causal relationship between observations of occupational disease and exposures to various putative risk factors that may also be of significance in public health protection. Through application of Hill's indicia to the evidence presented in a recent appeal process concerning a breast cancer case for a female border guard, a novel epidemic, tentatively called "occupational BRCAness" has been identified and a causal relationship with exposures to traffic-related air pollution and shift work and possibly secondhand tobacco smoke is inferred. Application of the audit method by worker advocates to other compensation appeals processes for other diseases might similarly yield causal relations with exposures to occupational risk factors with relevance to public health.

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)0.097
metaresearch head score (Gemma)0.240
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.097
Threshold uncertainty score0.514

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0970.240
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.002
Science and technology studies0.0110.011
Scholarly communication0.0130.012
Open science0.0040.010
Research integrity0.0200.011
Insufficient payload (model declined to judge)0.0160.001

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 head0.053
GPT teacher head0.380
Teacher spread0.327 · 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 designTheoretical or conceptual
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

Citations3
Published2018
Admission routes1
Has abstractyes

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Same venueNEW SOLUTIONS A Journal of Environmental and Occupational Health PolicySame topicCarcinogens and Genotoxicity AssessmentFrench-language works237,207