Indigenous People as Self-Narratives of Canada For Building Ontological Security in the Arctic
Bibliographic record
Abstract
The understanding of traditional security is undergoing a more multi-faceted transformation. Security itself is no more regarded as being limited to a physical presence, it requires a stable self as well. Claiming this, ontological security theory enables scholars to examine state behavior which strengthens identity values via self-narratives. This study aims to reveal that the traditional security perception of Canadian governments is limited in evaluating their relations with the Arctic states and indigenous people, therefore, in recent years, the relevant governments have provided Canadian ontological security in the Arctic region by constructing indigenous people as self-narratives. Therefore, in this paper, instead of traditional national security, it is mentioned that ontological security theory better articulates the state behavior of Canada both domestically and internationally. In the study, the qualified document analysis method is used by examining the reports that include the indigenous peoples as a significant part of Canada's national identity and the declarations announced at the ministerial meetings of the Arctic Council after the chairmanship of Canada. In this way, the study concludes by mentioning that Canada has built its ontological security by constructing self-narratives from indigenous peoples to have a robust position in the Arctic.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".