Socioeconomics of Individual Transferable Quotas and Community-Based Fishery Management
Bibliographic record
Abstract
In many fisheries around the world, the failures of centralized, top-down management have produced a shift toward co-management —collaboration and sharing of decision making between government and stakeholders. This trend has led to a major debate between two very different co-management approaches— community-based fishery management and market-based individual transferable quota management. This paper examines the debate over the relative merits of these models and undertakes a socioeconomic analysis of the two approaches. The paper includes (1) an analysis of differences in the structure, philosophical nature, and underlying value systems of each, including a discussion of their treatment of property rights; (2) a socioeconomic evaluation of the impacts of each system on boat owners, fishers, crew members, other fishery participants, and coastal communities, as well as the distribution of benefits and costs among fishery participants; and (3) examination of indirect economic effects that can occur through impacts on conservation and fishery sustainability. The latter relate to ( a ) the conservation ethic, ( b ) the flexibility of management, ( c ) the avoidance of waste, and ( d ) the efficiency of enforcement. The paper emphasizes the need for a broader approach to analyzing fishery management options, one that recognizes and properly assesses the diversity of choices, and that takes into account the interaction of the fishery with broader community and regional realities.
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 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 | 0.000 | 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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".