Charting a new course: collaborative environmental health mapping with the Isga Nation in Alberta, Canada
Bibliographic record
Abstract
Many Indigenous communities around the world are facing a health crisis aggravated by environmental degradation and dispossession. Through community-based participatory research, we examined barriers to land use, declining environmental health and human health implications for the Isga People in west-central Alberta, Canada. Through interviews, land use-and-occupancy and traditional and local knowledge of environmental change was spatially documented. Key concerns including declining wildlife health and water quality were largely attributed to the petroleum and forestry industries. Barriers included the encroachment of industry, agriculture and urban development, and a legacy of state-imposed assimilation policies. Human health concerns were associated with these barriers and environmental degradation along with a loss of connection to land and cultural practices. However, community resilience was also evident in the persistence of land use and cultural revival. Underlying environmental and sociopolitical factors are crucial for the health and wellbeing of the Isga and Indigenous Peoples worldwide.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 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".