Information on the Atlantic Salmon (Salmo salar) in Quebec for the Preparation of the Second Status Report by the Committee on the Status of Endangered Wildlife in Canada
Bibliographic record
Abstract
This document presents an update of the information and analyses on the Atlantic Salmon in Quebec gathered since the first review conducted in 2010, and is intended to support the reassessment of the status of the Atlantic Salmon (Salmo salar) by the Committee on the Status of Endangered Wildlife in Canada (COSEWIC). The information presented includes life history characteristics, habitat description, population abundance and threats to the species. A review of the data shows that the biological characteristics of the Atlantic Salmon and its freshwater habitats vary greatly among populations. Demographic trends also show high variability between populations. Although declines in salmon abundance were recorded in several rivers during the 1980s and 1990s, abundance levels have remained relatively stable over the past 20 years. In other rivers, abundance levels were fairly stable throughout the time series beginning in 1984. A few rivers remain in slow decline. However, no population appears to have become extinct, and the species’ range has remained largely unchanged over time. The pressure exerted by various types of fishing, which is relatively well controlled and documented, has continued to decrease. Several other threats whose impacts are less well understood have a combined effect on Atlantic Salmon populations.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.013 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.059 | 0.012 |
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".