An approximate assessment of the production levels of the Italian fishing fleet in the Mediterranean Sea during selected years in comparison with the analogous previous estimates
Bibliographic record
Abstract
During the past two decades, the organization Sea Around Us (based at the Fisheries Centre in British Columbia, Canada) has been carrying out the relevant task of reconstructing national statistics on marine fisheries for almost all countries and territories to fill information gaps and correct the general trend of severe underestimation of the “true” level of catches, discards and landings.A recent reconstruction of this kind showed that the annual catches by the Italian fleet fishing in the Mediterranean Sea had been presumably underestimated during most of the 1950-2010; in the 1970-1995 sub-period, they would have ranged from 0.7-1.1 million metric tons per year. However, comparisons with the landings for the few years for which there are “independent” estimates (i.e., not based on official statistics) show that many more bivalve molluscs and fewer “small pelagics” were caught and that the highest annual outputs reported by Sea Around Us should be presumably cut by 25%-35%.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.002 | 0.001 |
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".