Grey Seal pup production in Canada
Bibliographic record
Abstract
To estimate Grey Seal (Halichoerus grypus) pup production, digital-photographic aerial surveys were conducted of the major Grey Seal breeding colonies in Canadian waters in January 2021. Where there were multiple counts from a colony, the largest count was used to estimate total pup production. A total of 72,209 pups were counted on digital imagery from Sable Island, the largest breeding colony. The pup counts at Brion Island and Pictou Island, the two largest breeding colonies in the Gulf of St. Lawrence, were 5,151 and 3,604 individuals, respectively. Reconnaissance flights identified a small number of pups at new locations in the Gulf of St. Lawrence, but no new colonies along the Atlantic coast of Nova Scotia, New Brunswick and Newfoundland. Pup developmental stage surveys were undertaken on the ground or from helicopter at the seven largest breeding colonies to describe the birth distribution and correct the pup count for the estimate of pups born after the aerial photographic survey. Two models were used to estimate the proportion of pups born on the day of the survey: the accepted Myers Birth Distribution model, which uses the developmental stage duration estimated from known-age pups sighted daily on Sable Island; and a new Bayesian approach that uses the stage durations estimated from the known-age pups as priors but allows for the model to estimate stage duration for each colony. At all colonies, the pup production estimated by the Myers Birth Distribution was higher than the Bayesian birth distribution model. To maintain the time series, estimates of pup production are provided using the Myers Birth Distribution model. The estimated number of pups born on Sable Island was 76,600 (SE = 2,900), for Coastal Nova Scotia it was 4,700 (SE = 550) and for Gulf of St. Lawrence it was 16,900 (SE = 2,400) for a total production of 98,200 pups (SE = 5,800). For Sable Island, this is the first estimate of pup production since the 1960s that has not been a significant increase. Sable Island accounts for 77.5% of total pup production in Canada, and the change in trend in pup production on Sable Island is reflected in the trend in total pup production. Pup production in the Gulf of St. Lawrence continues to fluctuate with little evidence of trend over the past several decades, while at the more recently-established breeding colonies in southwest Nova Scotia, pup production continues to increase.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".