ESTIMATING STRUCK AND LOSS RATES FOR HARP SEALS (<i>PAGOPHILUS GROENLANDICUS</i>) IN THE NORTHWEST ATLANTIC
Bibliographic record
Abstract
Abstract One of the major sources of unreported mortality during the commercial harp seal (Pagophilus groenlandicus) hunt in the Northwest Atlantic is the number of animals that are killed but not recovered or reported, commonly referred to as struck and lost. With the significant expansion of the hunt in Canada and in Greenland during the mid‐1990s, there is a concern that the number of seals lost may have reached a level that is not sustainable relative to current harvest levels. To address this problem a study examining struck and loss rates was initiated in 1998 and 1999. Loss rates for young seals taken on the ice varied from 0% to 1.9% and from 0% to 10.0% when taken in the water. Seals greater than one year of age had loss rates of 0%–4.9% when taken on the ice and 13.8%‐50.0% when taken in the water. These estimates are lower than those recently reported for Northwest Atlantic harp seals.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".