Melting Security – Indigenous Livelihood in the Canadian Arctic
Bibliographic record
Abstract
The COP21 Paris Agreement is considered a milestone on the way to limiting global warming to 1.5°C. For the first time in history, a climate convention is signed by all 198 members of the UNFCCC, with each signatory state being responsible for developing their own climate strategy that considers the national circumstances. Given Canada’s colonial history, the Canadian government has a special responsibility for ensuring that Nunavut’s Inuit communities experience adequate protection of their cultural identity in times of changing environmental conditions. While studies on Inuit vulnerability to climate change are manifold, research on the political protection of Inuit cultural identity is still fragmentary. Therefore, this thesis seeks to uncover how Inuit perceptions of societal security are assured within Canada’s climate policies by carrying out a text-based analysis of Canada’s nationally determined contributions to the Paris Agreement. The research question this study aims to answer is: How are societal security matters of Nunavut’s Inuit communities addressed in Canada’s climate change policies aligned to the Paris Agreement? The analysis finds that the needs expressed by Nunavut’s Inuit communities throughout the coded publications are not adequately approached within the government’s climate strategies. Although the needs of Canada's indigenous communities are not entirely left out, a strong focus on industrial challenges can be identified, with Canada seemingly afraid to lose its economic strength while transitioning to net-zero emissions.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.025 | 0.007 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".