Fisheries and Prestige. Review and update of studies on the effects of the Prestige oil spill
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author.The Prestige oil tanker sank in November 2002 and leaked around 60 000 mt. of heavy oil (type M-100) into the sea. Immediately after the accident, closed areas were established. Among the fleets affected by the closures were four of the most important in ICES Division VIIIc and Sub-division IXa North (bottom trawl, pair trawl, purse seine targeting sardine and hand line targeting mackerel) as they exploit considerable resources, some outside biological safety limits. A fall in effort was observed in all of them, mainly in the first quarter and in sub-divisions VIIIc West and IXa North, although it failed to lead to a very large reduction in the total annual effort of each of the fleets, with the exception of hand line. Pair trawlers can make two types of fishing trip, but differences in specific composition among the three years analysed were not found in either of them. In the case of trawl, five kinds of fishing trips were identified, and changes were only found in the type that targets Norway lobster, hake, megrim and monk (HMMN), with a fall in the presence of Norway lobster.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".