Bibliographic record
Abstract
The publication in this issue of BJC of the findings of an updated study of Canadian nuclear industry workers by Zablotska et al (2014) invites enquiry into the background of this and similar studies. Nearly 40 years ago, the Royal Commission on Environmental Pollution (1976) opined that it would be desirable to conduct epidemiological studies of nuclear workers to directly assess risks to health from protracted occupational exposure to ionising radiation, to test the appropriateness of the assumptions made in setting radiation protection standards based largely on the experience of the acutely exposed Japanese survivors of the atomic bombings of Hiroshima and Nagasaki. The next year, the study by Mancuso et al (1977 ) on nuclear workers at Hanford, WA, appeared to show that cancer risks among these workers were greater than expected; the methodology of this study was heavily criticised ( Hutchison et al, 1979 ), but it received much publicity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.216 | 0.321 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.006 | 0.032 |
| Scholarly communication | 0.008 | 0.033 |
| Open science | 0.011 | 0.008 |
| Research integrity | 0.048 | 0.073 |
| Insufficient payload (model declined to judge) | 0.007 | 0.007 |
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 source (direct Gemma or distilled Codex), 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".