Bibliographic record
Abstract
Concern has increased in recent years over the sustainability of anguillid populations worldwide in the face of sustained consumer demand. This is as true of the more numerous tropical species as it is for the better known temperate species. There are, however, critical gaps in knowledge of anguillid biology and ecology, and these hold back measures designed to conserve and enhance anguillid populations, including aquaculture. Developing a more integrated understanding of anguillid biology, and resolving challenges faced by stakeholders and policy makers, is now more urgent than ever. World experts from Japan, the U.S.A., Canada, the European Union and New Zealand led a 3 day event where >200 scientists drawn from >30 countries across the globe converged to share their experience and expert knowledge of anguillids. The session covered the full range of issues affecting anguillid stocks across the globe, and also highlighted advances in the understanding of fundamental aspects of anguillid biology. Overall, 49 oral presentations and 68 posters were presented and, while these were dominated by Anguilla anguilla, Anguilla rostrata and Anguilla japonica, a further eight anguillid species were represented. What was experienced by all was the facilitation of a more integrated understanding of anguillid biology, and how this understanding can interface with the challenges faced by fishermen, consumers, engineers, producers and managers. The highlights are reviewed, important trends in anguillid stocks and research identified and the consensus for future science and management direction reported.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.010 |
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".