Bibliographic record
Abstract
Status Spawning Stock Biomass (SSB) of southern Gulf of St. Lawrence (sGSL) White Hake has been in the Critical Zone of the Precautionary Approach (PA) Framework since 1992. The SSB of White Hake in 2022 is 6.1 kilotonnes (kt) and has 100% probability of being in the Critical Zone. Trends SSB increased between 1978 and 1980, followed by a decrease until 2000 when it reached a minimum. Between 2001 and 2022, SSB fluctuated at low levels without trend. Natural mortality at all ages increased between 1978 and the 2000s. Natural mortality of fish age 4+ then slowly decreased until 2022 while natural mortality of younger fish (ages 2 and 3) kept increasing. Since 1995, natural mortality was very high and the dominant source of mortality. Fishing mortality of fish age 6+ varied between 0.2 and 0.4 in the 1970s and 1980s before increasing to a peak at 0.72 in 1992. Fishing mortality then decreased in 1995 with the implementation of the moratorium and has since remained low. Recruitment rates were low between 1980 and 1994. Rates increased until the early 2000s and remained high between 1995 and 2022. Ecosystem and Climate Change Considerations High natural mortality of older individuals is most likely caused by predation from Grey Seals. Stock Advice At current natural mortality and recruitment rates, the probability that SSB will increase over the Limit Reference Point by 2052 (30-year projection period) is 0%, even in the absence of fishery removals. The probability of SSB declining below 2,000 t by 2052 was 45%.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".