The Politics of Development in Nunavut: Land Claims, Arctic Urbanization, and Geopolitics
Bibliographic record
Abstract
This thesis surveys the development of Nunavut as not only a governmental and institutional entity but as a territory that is a political and social space both in the tradition of the Territories of the Canadian State and of Westphalian territorial government generally. It relies on Inuit everyday life, knowledge and values in the Eastern and Central Canadian Arctic. Drawing on first hand ethnographic fieldwork conducted primarily in Iqaluit, Nunavut, Canada, from 2008–2011; interviews with key informants; archival research, and participant observation in local, national and international governmental forums; Iqaluit, capital of Nunavut, is presented as a major case study. Iqaluit carries important lessons for evaluating processes of Arctic urbanization, the centralization and formation of communities and it has been challenged as a meaningful site for Inuit dwelling, rather than purely a governmental place. The poor image of Iqaluit is also related to the differential experience of migrants from other parts of the Arctic and local families who are successful as established insiders. In addition, minor case studies of the human dimensions of climate change and the debate on the European Union seal ban are presented. Attitudes towards social science research illustrate disagreements and conflict between “northern” publics and Canadian and international “southern” values.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.011 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".