Step lightly, then move forward: exploring feminist directions for northern research
Bibliographic record
Abstract
I discuss the methodological challenges that research with Aboriginal women poses in historical geography, especially in Northern Canada. Drawing a parallel between historical geography and contemporary Northern studies, I explore how the predominance of climate change as a framework for funding Arctic research creates an environment where women's specific ways of knowing and connecting with the land are not adequately captured. A gender approach that is sensitive to the issues women face in their communities reveals that their experience of climate change, as well as the concerns they have about it, are inseparable from the other economic and social issues they face. I argue for the development of a feminist research agenda in the North that allows Aboriginal partners to locate themselves in the frameworks that are constructed for producing knowledge. At times letting the project ‘fail’ may be the surest way to enable the emergence of a locally‐driven agenda that addresses the present and future needs of Northern Aboriginal Peoples .
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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 | 0.024 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.044 | 0.088 |
| Scholarly communication | 0.020 | 0.015 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".