Allocation of Fish Between Markets and Product Forms
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, we investigate the suppliers' allocation decisions between different product forms and markets using supply equations derived from a translog revenue function. This is of interest based on the hypothesis that fish processors and importers respond to changes in relative prices, diverting more fish into products or to markets where the price has risen. This can also at least partially explain the strong degree of correlation between prices of different product forms and markets that is observed in many seafood markets. An empirical analysis is carried out for cod for three main producers, Canada, Iceland, and Norway. The supply of cod exhibits substantial variation, and it is processed into a number of product forms. How the landings are allocated between product forms is then of substantial interest in itself, but also with respect to the influence of new species in the whitefish market, like pollock.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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