Newfoundland & Labrador comparative fishing analysis – part 1
Bibliographic record
Abstract
A comparative fishing program was undertaken in the Newfoundland and Labrador (NL) Region in the fall of 2021 and spring and fall of 2022 to quantify differences in catchability between the outgoing vessels Canadian Coast Guard Ship (CCGS) Alfred Needler and CCGS Teleost with the new Offshore Fishery Science Vessels (OFSVs) CCGS John Cabot and CCGS Capt. Jacques Cartier. Conversion factors to calibrate multispecies survey catches were estimated for the CCGS Teleost fall survey in Northwest Atlantic Fisheries Organization (NAFO) Divisions (Div.) 2HJ3KL and CCGS Alfred Needler fall survey in Div. 3KL. Conversion factors are intended to be applied to the vessel, season, and area for which they were derived and are not interchangeable between the CCGS Teleost and CCGS Alfred Needler time-series. For the CCGS Teleost, conversion factors were defined for 14 taxa including 2 with significant length effects, 18 taxa showed no significant difference in relative catchability, and 9 evaluated taxa had insufficient data to determine if a conversion factor is appropriate. For the CCGS Alfred Needler, conversion factors were defined for 15 taxa including 6 with significant length effects, 17 taxa showed no significant difference in relative catchability, and 12 evaluated taxa had insufficient data to determine if a conversion factor is appropriate. Sample size and spatial coverage of paired tows are generally insufficient to estimate standard conversion factors for the CCGS Alfred Needler survey time-series in Div. 3LNOPs in the spring or in Div. 3NO in the fall. With the CCGS Alfred Needler already decommissioned (i.e., no additional comparative fishing possible), data collected in 3NOPs by the new vessels will represent the beginning of a new time series for the majority of species and will not be directly comparable to the previous time series. Consistency in environmental and biological characteristics across seasons allowed a unique approach to estimating a conversion factor for Yellowtail Flounder applicable across the Div. 3LNO fall and 3LNOPs spring CCGS Alfred Needler time-series. Data gaps exist for small Atlantic Cod and small Snow Crab in the CCGS Teleost comparative fishing program. Conversion factors have been estimated for larger individuals and will be re-evaluated for the full length range following the fall 2023 comparative fishing program. An additional data gap in the CCGS Teleost comparative fishing program exists for deep water species including Greenland Halibut. Conversion factors have not been estimated at this time but will be evaluated following the fall 2023 comparative fishing program.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".