Executive Summary The purpose: The mandate of the Committee on the Status of Endangered Wildlife in
Bibliographic record
Abstract
Canada (COSEWIC) is to assess the status of species that are considered to be at risk of extinction in Canada. This workshop addressed concerns about how COSEWIC assesses the probability of extinction in marine fishes. The workshop participants provided their expert observations and recommendations for consideration by COSEWIC. The theory: The COSEWIC definition for extinction seems appropriate. Some participants, however, questioned whether “extinction ” should be used to refer to the disappearance of the last individual of a species, or the point at which numbers are so low that the species no longer plays an ecological role in its environment. There are many examples of local extinctions of marine fish, although there are few examples of species-level extinctions. Marine fish are as vulnerable to extinction as other taxa at similar population levels and with similar life-history traits. Loss of populations is the first step towards global extinction. Even if there are millions of individuals left after a significant decline, they may still be at risk. The number of individuals remaining after significant population decline may not be as important as other life-history factors that affect
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.086 | 0.051 |
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".