Contract and sustain: evaluating the results of progressive implementation of limited entry and catch shares in West Coast and Alaska Fisheries over four decades
Bibliographic record
Abstract
Access to West Coast and Alaskan fisheries has been progressively tightened for more than four decades with limited license programs, buybacks, and catch share programs. We document the implementation of a series of limited access and catch share programs in federally and state managed fisheries of the West Coast and Alaska, and evaluate trends in participation, diversification, vessel revenue, and variation of revenue between 1981 and 2022 for this large interconnected system of fisheries. Over time, progressive tightening through further input controls, buybacks, and catch shares led to substantial consolidation and greater specialization coinciding with increased temporal diversification, maintained or increased revenue per vessel, and reduced variation in inter-annual revenue. However, low levels of fishery diversification for many fishers, and high dependency on a few key fisheries, may have left fishers vulnerable to ecological and economic shocks that impacted key fisheries leading to increased income variation and further declines in participation in recent years.
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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 | 0.025 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".