Search and Rescue, Climate Change, and the Expansion of the Coast Guard Auxiliary in Inuit Nunangat / the Canadian Arctic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Canada’s maritime spaces, members of the all-volunteer Canadian Coast Guard Auxiliary (CCGA) provide essential marine search and rescue (SAR) services and promote boating safety. By 2015, however, only nine communities North of 55 possessed Auxiliary units and three of these struggled to remain operational. In 2020, the CCGA counted 20 units in the Coast Guard’s new Arctic Region, with 333 members and 31 vessels—the majority of which are located in Inuit Nunangat (the Inuit homeland in Canada) and comprised of Inuit members—and plans for future expansion. Based on stakeholder engagement, government documents, and media analysis, this article assesses the Coast Guard’s Arctic Search and Rescue Project and the concomitant programming under the Oceans Protection Plan that has facilitated the Auxiliary’s expansion in the Arctic. Our analysis asks two overarching questions: Why has this program been able to expand the Auxiliary after previous efforts failed? How has this expansion improved the SAR system and marine safety in Canada’s Arctic, and are there areas for improvement? The article makes four primary arguments: The success of the project has been fueled by strong community engagement and relationship-building efforts, effective data collection that has fostered a better understanding of the marine risks facing Arctic communities, and consistent access to the training and equipment required to safely conduct marine SAR operations Members of Arctic Auxiliary units strengthen SAR operations by improving response times, serving as SAR detectives, contributing to marine safety, and, most importantly, by integrating their local and traditional knowledge and skills into the broader search and rescue system. Training and organizational gaps exist that should be addressed as the Coast Guard continues to bolster existing units and establish new ones. The Arctic SAR Project has provided several best practices and lessons that should guide the implementation of additional resilience-building measures in the North and in other Indigenous communities.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it