Prevention is the Only Cure: Health Effects of the Uranium Cycle on Women, Fetuses and Children
Bibliographic record
Abstract
There are many sources of potential contamination throughout the uranium cycle, which can affect the health of families for generations to come. Children and fetuses are especially vulnerable due to rapid cell division during physical growth. This is documented internationally through outcomes such as increased incidence in spontaneousabortions,childhoodleukemiaandotherchildhoodcancers. Researchonthistopicaroseoutofa local concern in eastern Ontario due to proposed uranium mines at the watershed of major rivers, which may pose arisktomidwiferyclients wholiveneartailingponds,incommunitieswhorelyontheriversfortheirsourceof water, or who work in reprocessing and nuclear power plants. As Canada is the world's largest producer and exporter of uranium, the health impacts extend to the most recent use of depleted uranium in weapons abroad. As primary health practitioners, midwives can play a role in promoting public health through becoming better informed, and supporting local and international initiatives which address the threat posed to human and environmental health by the uranium cycle.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
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".