Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".