Canada–U.S. Fisheries Management in the Gulf of Maine: Taking Stock and Charting Future Coordinates in the Face of Climate Change
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Climate change and ocean acidification are the biggest non-fisheries threats to marine organisms across the global oceans. But where fish stocks are shared be- tween different countries, these oceanographic changes can have consequenc- es for governance regimes and extractive marine activities through changes in stock distribution, and the affording of fishing and access rights. The Gulf of Maine is considered a single ecosystem that is rapidly warming and undergoing ecosystem change. It is also bisected by an international maritime boundary, known as the Hague Line, separating the exclusive economic zones (EEZs) of Canada and the United States. Several fish species, such as cod, haddock, flounders, halibut, American eel, sandlance, cusk, pollock, herring, mackerel, and dogfish straddle the Line and although scientists suspect species’ distributional shifts in relation to the Line due to natural fluctuations and anthropogenic disturbances such as climate change, the full impact and extent of these shifts are not completely known and in some ways are unpredictable.
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.
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 | 0.001 | 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) | 0.000 | 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 it