<b>500 Years of the Once Largest Fishery in the World:</b>A Comprehensive Catch Reconstruction for the Newfoundland Cod Fishery (1508-2023)
Bibliographic record
Abstract
In 2024, the Canadian government lifted the moratorium on fishing on what was once the world’s largest single-species fishery. Over the last thirty years, fisheries scientists and historians have debated the role of long-term exploitation in the fisheries' collapse, but a lack of accurate historical catch data has hampered these discussions. This study introduces a groundbreaking new reconstruction of historical cod catches in Newfoundland from 1508 to 2021. This dataset is the longest, most comprehensive, and accurate reconstruction created to date and serves as a crucial tool for unravelling the complex dynamics of the fishery's rise and fall. The data illuminate the historical trajectories of diverse fishing fleets and maps the evolving spatial dimensions of the fishery. The paper warns that the staggering decline gives cause for concern about recent optimism of the return of abundance.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.017 |
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".