Integrating Indigenous women’s traditional knowledge for climate change in Canada
Bibliographic record
Abstract
Traditional Ecological Knowledge has historically been appropriated by White settler societies across the globe. It has an important role to play in environmental decision-making, particularly in climate policy. Due to past colonization and continued neo-colonial pressures, Indigenous women’s Traditional Ecological Knowledge has an even less prominent position in environmental policies. Traditional Ecological Knowledge can help build local expertise, formulate research questions, and provide insights into community adaptation and monitoring. We explore the case of Canadian environmental policy, arguing that although Canadian rhetoric seems to consider Traditional Ecological Knowledge, both women’s and otherwise, it rarely does so. When included, it is only done in a superficial manner within legal requirements. We suggest that the lack of attention paid to Indigenous women’s Traditional Ecological Knowledge in Canadian environmental decision-making (1) ignores the disproportionate impacts that Indigenous women experience because of climate change, (2) perpetuates gender blindness, and (3) does not recognize the key insights that women’s Traditional Ecological Knowledge can offer.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".