Bibliographic record
Abstract
This research addresses a fundamental human right- namely, the right to a food supply that is not inherently damaging to one's health. While this is a broad and far-ranging social justice issue in many parts of the world, in this study, I focus on how environmental contaminants pose a potential threat to food security in the circumpolar north. Contaminants represent a potentially significant hazard to the short and long-term health of Arctic natural and human environments and raise questions of environmental justice. This study investigated gendered dimensions of contaminant decision-making on the land, at home and in the community. Fieldwork was conducted in the Inuit village of Inukjuak, Nunavik, Canada and focused on the contemporary use of lead shot by local hunters. Exposure to lead through the consumption of traditional country foods harvested with the use of lead shot affects early neurodevelopment with potential long-term negative consequences. Lead shot is still sold locally and used as ammunition despite the 1994 imposition of a ban on the use of lead shot for hunting migratory gamefowl in Canada. This study was framed as an issue of environmental justice due to the threat to food security posed by contaminants including lead, the availability of lead shot in local stores and the failure of regional health authorities to adequately communicate the potential risks associated with lead shot use to the community. Drawing from aspects of standpoint and postcolonial feminist theoretical perspectives, this community-based study employed both qualitative and quantitative methods. Thematic analysis was conducted on data gathered through interviews with Inuit women and men and compared with field notes, participant observation notes and relevant literature on lead as an Arctic contaminant, Indigenous women and decision-making and environmental justice. Survey research was also conducted with women and men involved in hunting activities in Inukjuak. Data collection took place with the involvement of local Inuit
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.017 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".