A First Nations Political Ecology of Climate Change in Saskatchewan
Bibliographic record
Abstract
Climate change is the major global environmental challenge of this century. Globally, climate change\nimpacts are unevenly distributed. In Canada, the impacts of climate change are reported to be\nexacerbated in northern and Indigenous communities. To help understand why this condition exists, I\nhave applied the theoretical lens of political ecology as an explanatory tool. Political ecology links\necological outcomes to power differentials that result from control of government and other institutions\nover local and Indigenous peoples. This research took place in three First Nation communities in the\nCanadian province of Saskatchewan. Community members collected data for this study using semistructured interviews and a survey questionnaire developed by each community. Data analysis\ncategorized the impacts of climate change at the individual and community level. This research shows\nhow the creation of ‘Indian Reserves’ and the forced relocation of Indigenous people onto relatively\nsmall parcels of “land reserved for the Indians” (Indian Act 1876) has led to multi-faceted risk\nexposure to weather and climate events. This research makes a contribution to a ‘developed world’\npolitical ecology.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".