Ina makoce daca yusbemakina: identifying environmental impacts and changes within Alberta's Isga nation
Bibliographic record
Abstract
This qualitative research was conducted within Alberta’s Isga Nation, specifically Alexis Nakota Sioux Nation and Paul First Nation in central Alberta, Canada. The Isga are located in a hub of industrial activity such as oil drilling and development, sour gas drilling, coal mining, agriculture, and forestry. Despite the whirlwind of industrial activity surrounding them, the Isga people continue to carry out their traditional harvesting activities in and around Alberta, Canadas’ foothills and Rocky Mountains. The research objective was to better understand environmental impacts and changes in Alberta’s Isga Nation. More specifically, document concerns traditional land use harvesters have about: i) the decline in the health and abundance of medicines and berries; ii) the state of health the waterfowl and other wildlife are in; iii) testimony that industrial activity is causing environmental degradation; iv) the health of our lakes and rivers; and v) and worries about how the continuation of the Isga way of life will be affected in the future. The methods, or Isga ways of knowing provide first hand knowledge that the Isga are forced to seek areas outside their traditional harvesting territory to seek medicines and berries; that the wildlife, particularly moose, are showing abnormalities when they are harvested; that the health of the rivers and lakes is rapidly decreasing; and that the survival of the Isga way of life is being threatened today. Moreover, Isga voices will illuminate that their traditional territory is rapidly decreasing in environmental health and abundance because of oil drilling and development, sour gas drilling, coal mining, agriculture, and forestry.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".