Unfolding dialogues about gender, care and ‘the north’: an introduction
Bibliographic record
Abstract
This paper introduces a special themed section which arose out of a successful symposium, Caring for the North: Gender, Care and Northern Places, held in 2006 at the University of Northern British Columbia, Canada. Considering feminist and geographical research on care, we argue (1) that feminist perspectives have provided key developments for thinking about care, and (2) that care research must take place seriously to allow for both specificity and complexity of approaches to the relationships of gender, care and ‘northern’ places. We then briefly introduce the special issue contributions which address these eponymous concerns, suggesting this collection is an opportunity for unfolding dialogues about the intersections of gender, care and ‘the north’. We hope the diversity of the work that follows demonstrates the range of possibilities for feminist approaches to care and place and furthers the necessary cross-disciplinary conversations.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.017 | 0.019 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".