Divergent anthropocentrisms: an Inuit exercise of self-determination via living resource management in an international context
Bibliographic record
Abstract
Since the establishment of self-government in Nunavut, the Inuit have gained domestic self-determination over the management of important living resources such as the polar bear. By exercising self-determination, the Inuit have been better able to realize the maximum economic utility of these resources by pursuing their commodification in international markets. Recently, however, the ability of the Inuit to use the international market as a medium for economic development has been constrained by environmental campaigns that oppose the commodification of the polar bear as a hunting trophy. This paper examines the impact of these international forces on Inuit self-determination, and on the capacity of Inuit to achieve their longer term economic development goals. Using polar bear management as a case study, I argue that in order to achieve their longer-term economic development objectives in relation to living resource management, the Inuit must employ a more pragmatic and strategic approach to the pursuit of economic opportunities in the international marketplace. In order to advance their pursuit of economic self-determination, I argue that the Inuit must seek to establish more cooperative relationships with international actors such as environmental NGOs, and with respect to the commercial development of Arctic wildlife, establish a common set of goals that are based on a shared anthropocentrism. --P.ii.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.020 | 0.026 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| 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".