BC-to-Alaska Transboundary Salmon: Conflict, Enhancement, Moral Hazard, Paper-Fish and Folly
Bibliographic record
Abstract
Enhancement of British -Columbia -to-Alaska Transboundary Rivers is a vast potential prize to all concerned. However, despite funding commitments in the Pacific Salmon Treaty, that program is at great risk of always being more potential than real. The cooperation needed to make this program work has been and continues to be grievously eroded by short -term self-interest (moral hazard), Alaskan’s fears that they will give up real fish for a share in paper fish (e.g. fish that exist only in official reports) and the folly that has bureaucrats managing these projects when they have little or no stake in their success and a history that does little to inspire confidence. This paper reviews the histor y of conflict over, management of, and mismanagement of BC-to-Alaska Transboundary River salmon, examines the potential gains from enhancing those stocks, and looks at approaches to contracting responsibility for and rewards from that enhancement so as to mitigate the harm from moral hazard, paper fish, and folly.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".