Mary River mine fugitive-dust research: bridging western science, industry monitoring and Inuit Qaujimajatuqangit
Bibliographic record
Abstract
Ce projet (Nunavut Research Institute 2024 Scientific Research License No. 02 013 24N-M) vise à développer et à faire progresser une boîte à outils de techniques de surveillance des poussières minières fugitives dans l'Arctique canadien. En évaluant et en adaptant des méthodologies nouvelles et innovantes pour la surveillance des poussières minières à l'aide de techniques terrestres et d'observation de la terre, nous prévoyons de répondre aux préoccupations de la communauté et aux défis de l'industrie en matière de surveillance des poussières minières fugitives. Il s'agit de la première année d'un projet de trois ans et le présent rapport se concentrera donc sur l'état d'avancement des activités à ce jour.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".