Small pelagic fish: new frontiers in ecological research
Bibliographic record
Abstract
Populations of small pelagic fish (SPF), such as sardines, anchovies and herrings, support some of the largest marine fisheries globally and are critical for trophic transfer in large marine ecosystems and food security, particularly in low- to medium-income countries. Marked changes in population size, shifts in distribution on multiple time scales, and impacts on their populations from other pressures (e.g. overfishing, climate change) pose large challenges to sustainably manage these resources to avoid the serious socioeconomic and ecological impacts of population collapses. The ecology and management of SPF was discussed in an international symposium in Lisbon, Portugal, attracting participants from 38 countries and 6 continents. This Theme Section includes 18 research contributions examining SPF from 6 different ecological regions alongside 3 global analyses. These studies, including a wide range of topics from parasitology, behavior and trophodynamics to growth and spawning, provide important new knowledge that will improve science-based advice and tools needed for sustainable, ecosystem-based management of these resources. This symposium was an important milestone for a global working group and sowed the seeds for continued, globally coordinated research efforts on the role of SPF in complex socio-ecological systems.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.003 |
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".