Assessment of the South and East of Hudson Bay Atlantic Walrus Stock in 2022
Bibliographic record
Abstract
The aerial coastal photographic survey conducted in September 2022 covered all known terrestrial haul-out sites identified within the distribution range of South and East Hudson Bay (SEHB) walruses, based on previous surveys and Inuit Qaujimajatuqangit (local knowledge). Average counts of hauled out walruses from the photographic aerial survey totaled 130. The corresponding abundance estimate (rounded to the nearest 10) was 430 (95% CI = 160– 1,190) after accounting for animals at sea during the survey. Satellite images covering most of the surveyed area, taken between August and October 2022, were also analyzed to obtain a second abundance estimate. Average number of walruses hauled out estimated from satellite images was 190, corresponding to an abundance estimate of 630 (95% CI = 230–1,770) after accounting for animals at sea. The combined estimate of abundance from both the aerial survey and satellite images is 500 (95% CI = 230–1,060) walruses. Based on the combined estimate of abundance, the Potential Biological Removal (PBR) estimate for the SEHB stock is 4. The correction factor for animals at sea has a large impact on the abundance estimate but is informed by a limited amount of data.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".