Holocene bowhead whale (Balaena mysticetus) mortality patterns
Bibliographic record
Abstract
ABSTRACT. Changes according to elevation in frequencies of naturally stranded bowhead whale (Balaena mysticetus) remains on Holocene beaches in the Canadian Arctic Archipelago (CAA) closely parallel previously reported temporal changes in frequencies of independently radiocarbon-dated bowhead remains from these same beaches. Specifically, on the basis of emergence curves determined for 10 localities surveyed in the CAA, stranded whale remains tend to be relatively common in beaches dating to approximately 2500 –5500 B.P. and those older than 8000 B.P., but relatively rare in beaches dating to 0 –2500 B.P. and 5500 –8000 B.P. The former beaches apparently developed primarily during periods of relatively ice-free summer conditions, while the latter developed during periods of relatively pervasive summer sea ice that prevented bowheads from entering the region. Length-based mortality profiles of the stranded whale assemblages suggest that random processes, such as ice entrapment, were responsible for the death of most whales found on these beaches. Key words: bowhead whale, climate change, Holocene, mortality profiles, sea ice RÉSUMÉ. Des changements en fonction de l’altitude dans la fréquence de restes de baleines boréales (Balaena mysticetus) sur les plages de l’holocène situées dans l’archipel Arctique canadien (AAC) correspondent de près aux changements temporels rapportés précédemment dans la fréquence des restes de baleine boréale datés indépendamment au radiocarbone trouvés sur ces
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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 | 0.000 |
| 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) | 0.001 | 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".