Canadian and Russian Fisheries Management in the Arctic: Complexities, Commonalities and Contrasts
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
This article reviews and compares Canadian and Russian approaches to Arctic fisheries management through a three-part format. First, the complex array of laws and policies applicable to Arctic fisheries is described for each country. How Canada and Russia have addressed international fishery issues is also highlighted, including their participation in the 2018 Central Arctic Ocean Fisheries Agreement. Second, commonalities in fisheries governance approaches are summarized, including national commitments to implement precautionary and ecosystem approaches. Finally, contrasts in Arctic fisheries management are discussed. Major differences include the greater devolution of management responsibilities by Canada to Indigenous communities through land-claim agreements and co-management arrangements and Russia’s greater success in formalizing bilateral fisheries management arrangements with its neighbours.
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 | 0.001 | 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 | 0.002 | 0.001 |
| 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 it