Assessment of Newfoundland East and South Coast Atlantic Herring (Clupea harengus) stock complexes to 2018
Bibliographic record
Abstract
The assessment of Newfoundland east and south coast Atlantic herring (Clupea harengus) stock complexes considered data to the spring of 2018. Stock status index updates were provided for the Bonavista Bay-Trinity Bay (BBTB), St. Mary’s Bay-Placentia Bay (SMBPB), and Fortune Bay (FB) stock complexes; biological updates were provided for White Bay-Notre Dame Bay (WBNDB) and Conception Bay-Southern Shore (CBSS) stock complexes. All Newfoundland stock complexes are comprised of a mix of spring and fall spawning herring. Spring spawners historically dominated in all areas, but with increased fall spawner recruitment in the late 1990s and through the early 2000s, stock composition in most areas shifted to largely fall spawners by the 2010s. However, a decline in fall spawner recruitment and the presence of several strong spring spawner year classes entering the fishery at the time of this assessment led to an increase in the percentage of spring spawners in recent years relative to the last decade. Stock status is assessed using the spring research gillnet program, which provides the only fishery-independent index of abundance for the BBTB and FB stock areas. Since 2018, a similar program has also been run in Placentia Bay (PB) through DFO’s Coastal Environmental Baseline Program, the results of which were used to update stock status for this assessment. The stock status index in BBTB decreased in 2017, largely due to below average catch rates; however, there are indications of positive future prospects with strong recruitment of incoming spring spawner year classes. Given these diverging trends, the stock status evaluation for BBTB is uncertain. In FB, the stock status index declined throughout the 2000s as spring recruitment was poor and fall recruitment did not increase in this stock area as it did in others. The index improved slightly in 2017 due to the strong recruitment of the 2012 year class, however at the time of this assessment there were no indications of subsequent strong recruitment. Based on these indices the stock status of FB is negative. In PB, catch rates from the 2018 gillnet program were above average, but the catch was dominated by a single year class, giving an uncertain stock status.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".