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Record W7101222048

Executive Summary

2004· article· en· W7101222048 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsAdjudicationLegislationCompensation (psychology)Extant taxonExecutive summaryWorkers' compensationSet (abstract data type)Judicial review
DOInot available

Abstract

fetched live from OpenAlex

There has been a movement across Canada to adopt legislation establishing rebuttable presumptions for compensation of firefighters who develop certain types of cancer. Such presumptions must meet legal standards of the weight of evidence. The Workers ’ Compensation Board of British Columbia commissioned a report in 2003 from a team of consultants associated with Cancer Care Ontario. The team members were charged with evaluating the extant data on risk of occupational cancer among firefighters; the report, which is based on a rather stereotyped model of meta-analysis, has limited utility. Notwithstanding the stated objectives of the study (which changed in sequential drafts of the reports), the assessment is based on strength of evidence, not weight of evidence, which is fundamental to adjudication for compensation. The Cancer Care Ontario team also omitted useful studies and restricted their analysis to summary risk estimates rather than examining all pertinent data, contrary to their (final set of) stated objectives. The study report is examined in detail. In the present report, the epidemiological data are examined with careful attention to sources of bias and misclassification (which, in general, tend to produce underestimates of risk)

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.788
Threshold uncertainty score0.998

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)0.0010.003

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 head0.074
GPT teacher head0.470
Teacher spread0.396 · 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.

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

Citations0
Published2004
Admission routes1
Has abstractyes

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