1 Plenary 4: Security Human implications of climate change in the Canadian Arctic: A case study of Arctic Bay,
Bibliographic record
Abstract
This paper presents a vulnerability based approach to characterize the human implications of climate change for Arctic communities. The approach explicitly incorporates the knowledge, experience, and observations of Inuit to identify current exposures and adaptive strategies, and to assess future risks and adaptation needs. The model is applied in a case study for the community of Arctic Bay, Nunavut. The interviews indicate that, in the face of changing climatic conditions, Inuit have demonstrated significant adaptability. Coping strategies involve risk minimization, risk avoidance, modification of the timing and location of harvesting activities, and sharing of loss. This adaptability is facilitated by traditional skills and local knowledge of the environment, strong social networks, flexibility in seasonal hunting cycles, and institutional support. While the community is managing changing climatic conditions, the social and cultural implications of the transition of a traditional Inuit society to a ‘dual society ’ have placed many of the coping mechanisms under stress. This context of social, economic, and political processes and conditions, will constrain or enhance the ability to manage changing climatic conditions. 1.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.003 |
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".