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
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.)
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 | 0.009 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.001 | 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