A Study on the Promising Market Analysis of Seafood Export in Prepartion for the U.S Marine Mammal Protection Act(MMPA)
Bibliographic record
Abstract
This study investigated alternative markets for tuna, squid, and fish cakes subject to import regulations under the Marine Mammal Protection Act(MMPA) in the United States. When the MMPA import regulation is implemented, aquatic products and processed seafood produced by fishing that causes accidental death or injury of marine mammals will be prohibited from being exported to the United States. In this study, multidimensional scaling and cluster analysis were used to conduct country-by-country using the five-year trade data(2019-2023). In this study, We find the alternative market for tuna fillets(Japan, France, Italy and China), seasoned squid(China, Australia, Japan, Canada, Hong King and Vietnam), fish cakes(hilippines, Taiwan, Canada, Australia, China, and Canada)
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".