Bibliographic record
Abstract
This is the OBIS extraction of the Ocean Tracking Network and Department of Fisheries and Oceans Canada (DFO) Gulf of St. Lawrence Herring, consisting of the release tagging metadata, i.e. the location and date when the tagged animal was released, and summarized detection events of tagged individuals. If readers are interested in the source dataset they may also inquire with the project PIs as listed here or on the OTN web site (https://members.oceantrack.org/project?ccode=GSLHER). Abstract:Atlantic herring are an abundant and highly migratory pelagic fish that inhabit the Gulf of St. Lawrence (GSL). In the northern GSL, they are managed and assessed as two discrete stocks; one along the west coast of Newfoundland (NAFO division 4R) and another on the north coast of Quebec (NAFO division 4S). However, herring schools undertake extensive annual migrations between feeding, spawning and overwintering areas which are poorly understood. There is some evidence from mark-recapture studies and commercial fishery data that mixing occurs between the herring stocks in 4R and eastern 4S. Biological differences were also observed between the herring inhabiting the eastern and western regions of 4S, suggesting that 4S may comprise two separate stocks. Stock assessment relies on the assumption that stock units are closed, and that no mixing occurs between units. When this assumption is violated, the results of stock assessments may be inaccurate, which can confound management strategies. This project is funded by the DFO Competitive Science Research Fund (CSRF) and will address this knowledge gap by employing acoustic telemetry to determine the seasonal movements and distribution patterns of the herring stocks within 4RS. The lack of information on stock structure has been identified as the main source of uncertainty at the last 4S herring stock assessment. The overall objective of the project is to use acoustic telemetry to monitor the spatial and temporal movement patterns of the Atlantic herring stocks in the northern GSL in relation to fishery management areas (i.e., NAFO divisions 4R and 4S). Specific objectives are: 1. Provide a detailed description of the seasonal migratory patterns of Atlantic herring in the northern GSL; 2. Determine the degree of mixing between herring stocks along the lower north shore of Quebec (eastern region of NAFO division 4S) and the proximal west coast of Newfoundland (NAFO division 4R); 3. Determine the degree of mixing between herring stocks in the eastern and western regions of NAFO division 4S; 4. Provide new information to DFO biologists and resource managers on herring stock structure in the northern GSL to improve the accuracy of stock assessments and their use in fishery management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.052 | 0.040 |
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".