Bibliographic record
Abstract
Rich with detail and provocatively argued, this study of the development of property rights in the world's fisheries tells the story of one industry's evolution and provides a useful illustration of the forces that shape economic institutions. The emergence of exclusive individual rights of access in the fishing industry began after the revolution in the international law of the sea that took place in the 1970s, when the offshore area controlled by a nation for fish and other resources expanded from 3 miles to 200 miles. Rögnvaldur Hannesson compares the subsequent development of private property rights in the fisheries to the historic enclosures and clearances of common land in England and Scotland and finds many parallels, including bitter fights over access rights and the impossibility of accommodating all those who want to stake a claim. Overall benefit to society in the form of increased efficiency, he points out, does not mean that all benefit equally. After tracing the development of the law of the sea since the sixteenth century, Hannesson considers what form property rights in fisheries might take and examines the forces behind the establishment of exclusive use rights to fish. He argues that one form of exclusive use rights, individual transferable quotas (ITQs), best promotes efficiency in the use of fish resources. He presents case studies of ITQ development, ranging from successful establishment in Canada and New Zealand to failures in Chile and Norway to experiments with ITQs in Iceland and the United States. The development of economic institutions, he concludes, is an evolutionary process subject to contradictory influences.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".