Exchange Relationships in Inshore Fisheries<sup>1</sup>
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
Research on the long‐term, informal exchange strategies of harvesters and dealers working in inshore fisheries has been important to theory surrounding economic exchange. In transaction costs economics, this research provides evidence for economic exchange governed by trust, and in exchange theory, it provides evidence for the emergence of cooperation and trust. In this article I examine the emergence of economic exchange relationships in the new sea urchin fishery. The research is ethnographic in nature, utilizing a variety of data sources including participant observation, in‐depth interviews, and existing quantitative data. I find that, just as experience or improved efficiency can have an impact on the emergence of trust between exchange partners, potential exchange partners can be deemed untrustworthy based on general characteristics unrelated to the particular individual. Once established, these assessments become part of the strategic context of exchange in the fishery.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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