Gendered dimensions of environmental health, contaminants and global change in Nunavik, Canada
Bibliographic record
Abstract
As has been well-documented in the scholarly literature over the last two decades, contaminants pose a potentially significant threat to the short and long-term health of Arctic human and natural environments and raise questions of social and environmental justice. Studies link contaminants such as heavy metals, persistent organic pollutants and radionuclides with the use of traditional country foods by Indigenous peoples including the Inuit. Adversely impacting Inuit communities in a myriad of ways, contaminants represent one manifestation of global change across the circumpolar North. Focusing on the community of Inukjuak, Nunavik (Northern Québec), Canada, this paper investigates the roles of Inuit women and menvis-à-visparticipation in hunting activities and the identification of contaminants, and demonstrates how women and men construct the lead contaminant issue differently. Additionally, the paper explores why including the perspectives of both is critical to the development of effective environmental health policies, programs and strategies in response to these contaminants.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".