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 men vis-à-vis participation 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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 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".