Cooperation and Club Goods: Fisheries Management in the Spirit of Elinor Ostrom
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
The challenge of achieving stable fisheries cooperative arrangements worldwide, at both the international and the domestic level, is increasingly important, but most game theoretic analyses of such arrangements have produced pessimistic results. Yet Elinor Ostrom and colleagues, emphasizing what might be termed social capital, refute these pessimistic results, at least at the domestic level. To date, there has been no effective way of incorporating such social capital into game theoretic models of fisheries. Focusing on the domestic level, this paper attempts to do just that. In so doing, the paper employs the concept of “club goods,” where a club good is non-rivalrous, but excludable. The paper, commencing with a model involving a repeated game with trigger strategies, is extended to include the club good, with dramatic consequences for the stability of the game. Elinor Ostrom and colleagues stand vindicated. Extending this analysis to the international level is the next challenge.
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 | 0.000 | 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 it