Multi-level salmon governance and adaptation to institutional change in Indigenous fishing communities in Kamchatka, Russia
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
Discussions around salmon governance and management systems in the Pacific remain to be the source of debate and tension between recreational fishers, commercial fishing industry, Indigenous communities, government agencies, as well as the scientists (Chalifour et al., 2022; Day, 2023; Reid et al., 2022). While decades were spent on developing the “correct” salmon governance regimes, these systems still fail to respond to the needs of salmon-dependent communities and salmon populations (Council of Athabascan Tribal Governments, n.d.; Connors, 2023). In multiple contexts multi-level governance is enforced top-down and is imposed with the pretext of achieving “better” management of resources, yet increasing gaps and oscillation in salmon population suggest a fragile and potentially ineffective system.
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 | 0.000 |
| 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