Proceedings of a workshop on research strategies into the causes of declining Atlantic salmon returns to North American rivers
Bibliographic record
Abstract
In response to the decline in the abundance of Atlantic salmon returning to rivers in North America and limited directed research programs on salmon at sea, Fisheries and Oceans Canada convened a special workshop to define a research strategy and to lay the groundwork for an intensive and integrated research campaign. The workshop took place from June 12 to 14, 2000 at the Dalhousie University in Halifax Nova Scotia, with participants from government agencies in Canada, United States (New England) and Europe, as well as Canadian Universities and the Atlantic Salmon Federation. The workshop format included a plenary session for introducing the subject, terms of reference, and a brief overview of background material, followed by division of participants into three working groups defined by the life stage of Atlantic salmon (freshwater, estuarine/nearshore, and marine). Each subgroup was assigned the tasks of reviewing the most plausible reasons for the salon's decline and ranking research programs on the basis of likelihood of success, feasibility, and fundability. Products from the workshop include 15 project proposals summarizing the background information, databases necessary to test hypotheses, time frame for completion, resources required, and the value of the proposal related to the consequences for better understanding the decline in salmon. In addition, this Proceedings document was produced to archive the activities and discussions during the meeting.
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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 | 0.024 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 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; 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".