Kanadas säkerhet i Arktis : utmaningar och utveckling i en tid av klimatförändringar
Bibliographic record
Abstract
The melting of the polar ice caps and sheet ice is opening what were once natural maritime barriers. New maritime transit lanes are opening for longer periods – such as Canada’s Northwest Passage (NWP) and with it, increased maritime traffic and unfettered access to resources in the region than ever before in themodern era. This thesis explores how the use of using semi-autonomous unmanned surface vehicles (USVs), allowing for increased monitoring presence to help support regional security objectives. This thesis will explore the complications of Canadian “hard” vs. “soft” security and how technology might bridge manpower and policy gaps that would otherwise be considered too risky, expensive, or insufficient using only traditional human-crewed vessels. As well, as the region melts, this becomes a threat multiplier as increased regional access is leading to greater attention from other nation state actors with conflicting Arctic territorial sovereignty claims. This is becoming a potential catalyst for new strategic pressure in the region.This thesis will argue that USVs could complement regional security and strengthen Canadian sovereignty –in a complicated political environment – without overtly demonstrating hostile intentions when viewed through the theoretical lens of the security dilemma model. This research was conducted through a series of investigative interviews with subject matter experts (SMEs) related to these topics. This form of technology adoption will have implications for intelligence, surveillance, reconnaissance (ISR), maritime safety, border and harbour security, alongside other natural sciences pursuits as they relate to climate change.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.010 |
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".