Historical marine footprint for Atlantic Europe, 1500–2019
Bibliographic record
Abstract
Over the last 500 years, Europe (excluding Russia) consumed over 2500 million tonnes of ocean biomass. This is based on detailed historical data that we provide for human consumption per capita which was stable from 1500 to 1899 and tripled in the twentieth century. In the last 300 years, cod and herring dominated human seafood consumption. Whaling for non-food uses peaked in the 1830s and declined as cetaceans became scarce. Seafood consumption increased rapidly after 1900, and by the late 1930s, annual marine consumption in Atlantic Europe reached 7 million tonnes of biomass, facilitated by the globalisation of whaling. Atlantic European consumption, including fishmeal for animal feed, peaked at more than 12 million tonnes annually in the 1970s, but declined thereafter. The marine footprint of Atlantic Europe was significant well before modern fisheries statistics commenced. Our findings can inform future assessments of ocean health and marine life's importance for human society.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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; both teacher heads agree on what is shown here.
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".