Sensing the Arctic: Situational awareness and the future of northern security
Bibliographic record
Abstract
This article considers the role of surveillance within security concerns related to the Arctic in Canada and North America. More pointedly, it examines how surveillance contributes towards situational awareness and the current emphasis on technological research and development to meet current and future security requirements. The article argues that Canada's focus on surveillance within the Arctic offers a flexible strategy that navigates the complex and evolving security environment in addition to the political and fiscal realities of our time. However, the article warns that emphasizing the role of novel technology within strategic considerations risks undermining sound policymaking as the potential for new technology to transform defensive capabilities remains speculative. The article illustrates this approach to security by analyzing Canada's Arctic surveillance capabilities and goals under the All Domain Situational Awareness (ADSA) program. Further, it links Canada's efforts to North American defence by theoretically examining the role of surveillance in the Strategic Homeland Integrated Ecosystem for Layered Defence (SHIELD) concept and the recent NORAD/USNORTHCOM strategic outlook.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".