Millennial-scale societal shifts drive the widespread loss of a marine ecosystem
Bibliographic record
Abstract
Abstract Degradation of marine ecosystems by human activities is a global problem, with only recent recognition that exploitation of ecosystems over millennia can result in their functional extinction and loss from human memory. To reconstruct the historical distribution of oyster reefs in China, and the context behind loss, we extracted information from archaeological records and historical documents (pre-modern Chinese literature, administration reports, art, maps, newspapers) spanning ∼7600 years, then constrained records with past coastlines and habitable environmental conditions. Oyster reefs were extensively distributed along >750 km of coastline in the Pearl River Delta, and their exploitation underpinned the region’s development into China’s first economic hub in the 6 th century. Millennial-scale overexploitation alongside societal shifts were central in their regional extirpation by the 19 th century, but the enduring cultural importance of oysters is maintained by aquaculture expansion. Informed conservation practices can be developed from reconstructing the temporal interplay between human societies and the natural environment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".