Bibliographic record
Abstract
This study deals with the tuna industry in the Philippines, which is among the world's largest producers of tuna and tuna-like species. Centred around General Santos City, the "tuna capital of the Philippines", the tuna boom was spurred by the arrival, in the mid-1970s, of Japanese traders looking for new supplies of sashimi-grade yellowfin tuna. Interestingly, the primary producers of this high-priced, export- grade tuna are the humble handliners, small-scale fishers found in coastal communities all over the Philippines archipelago, who use passive handline gear to catch yellowfin, skipjack and bigeye tuna. Also, the use of the fish-aggregating device locally known as payao has greatly reduced the time spent for searching and catching tuna.The study also analyzes the primary post-harvest facilities and processing industries as well as the nterlinked financing and marketing sectors in the hilippines tuna industry. The discussion covers grade lassification of the catch, pricing, selling operations, nd international trade of tuna products. The study oncludes with an overview of current initiatives to manage and develop the Philippines tuna industry. (83pp.)
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".