Near the floe edge: Inuit women's role in the Nunavut mixed economy
Bibliographic record
Abstract
For decades, the lives of First Nations, Métis and Inuit women have been surrounded with silence. While northern research has rapidly expanded since the early 2000s, very little attention is been paid to northern women's roles. Although feminist economists and geographers have highlighted the importance of gaining a fuller understanding of economic roles for both sexes, little of this work has addressed contemporary gender dynamics among Inuit or other Arctic Indigenous peoples. Thus, gender is an emerging topic in Arctic research and remains poorly understood. Recognizing the growing gap of knowledge regarding Inuit women and their activities, my dissertation examines Inuit women's roles within the transformed socioeconomic environment of Nunavut. Using semi-structured interviews, economic diaries, life history calendar and time usage chart, I gather both qualitative and quantitative socioeconomic data in the community of Clyde River, Nunavut. Through a multi-scale analysis I develop a comprehensive account of Inuit women's contributions in subsistence, domestic and wage work since the 1980s. Research results show that the ways women and men engaged in work-related activities are deeply connected to socioeconomic relationships and to the organization of norms, expectations and obligations in Inuit culture. Moreover, Inuit women are increasingly becoming the main monetary providers for their household and, concomitantly, are experiencing an increase in their provisioning responsibilities. My investigation also reveals that wage-work is both experienced as empowering and disempowering by female participants depending on broader social dynamics. Finally, results illustrate the way economic development is experienced by Inuit women amidst modern conditions and how gender is crucial in the understanding of economic life in northern communities.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".