Bibliographic record
Abstract
Inuit Women is the definitive study of the Inuit during a time of rapid change. Based on fourteen years of research and fieldwork, this analysis focuses on the challenges facing Inuit women as they enter the twenty-first century. Written shortly after the creation of Nunavut, a new province carved out of traditional Inuit homelands in the Canadian North, this compelling book combines conclusions drawn from the authors' ethnographic research with the stories of Inuit women and men, told in their own words. In addition to their presentation of the personal portraits and voices of many Inuit respondents, Janet Mancini Billson and Kyra Mancini explore global issues: the impact of rapid social change and Canadian resettlement policy on Inuit culture; women's roles in society; and gender relations in Baffin Island, in the Eastern Arctic. They also include an extensive section on how the newly created territory of Nunavut is impacting the lives of Inuit women and their families. Working from a research approach grounded in feminist theory, the authors involve their Inuit interviewees as full participants in the process. This book stands alone in its attention to Inuit women's issues and lives and should be read by everyone interested in gender relations, development, modernization, globalization, and Inuit culture.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.050 | 0.004 |
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".