Spanish cod fishery in Newfoundland, Page 231 SPANISH ATLANTIC COD (GADUS MORHUA) FISHERIES IN NEWFOUNDLAND IN THE SECOND HALF OF THE 20TH CENTURY
Bibliographic record
Abstract
Atlantic cod (Gadus morhua) has been an economically and culturally important food in Spain for hundreds of years. The Spanish cod fishery in Newfoundland waters developed slowly over time, and was sometimes erratic in its operation. The demand for dried salted cod was always high, and what was not caught by the Spanish fleet was imported. Fishery development accelerated after WW II, but the fleets then faced economic difficulties during the 1970s and 1980s. Catch levels of cod in the Northwest Atlantic declined during this time due to overfishing and a reduction in the number of boats in the fleet. Although cod has always been the target of the fishery, fishers in recent years have increasingly caught other species as well, especially with the introduction of freezer trawlers into the fleet. The demand for salted cod has remained high, however, despite the increasing importance of other target species and the growing competition with fresh fish. Although data sources in the Spanish fisheries often underestimate landings and rarely identify where fish were caught, Atlantic cod catch data taken from the Spanish Fishery Yearbooks fit closely with NAFO-FAO data. However, discards since the 1970s and non-reported catches may each represent up to 25 % of the weight of cod landed. Thus, Spanish cod catches are probably substantially underestimated.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.006 | 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".