Variation in blubber cortisol as a measure of stress in beluga whales of the Canadian Arctic
Bibliographic record
Abstract
Exposure to stressors in free-living mammals can be measured via glucocorticoid hormones concentrations. Using adipose from marine mammals (blubber) as a tissue for extracting cortisol provides a means for measuring cortisol concentrations not associated with capture stress. Beluga whale range is limited to the Arctic where climate change is exaggerated. Our objectives were to compare cortisol concentrations among archived blubber samples with varying quality and blubber depth, compare blubber cortisol from beluga whales in a high-stress entrapment event to whales harvested during subsistence hunts, and compare blubber cortisol among beluga whale populations in relation to conservation status, diet, sex, age and year sampled. Blubber samples showing signs of deterioration had lower cortisol concentrations. The deepest blubber contained the highest concentration of cortisol compared to other depths. Blubber cortisol concentrations from entrapped whales were higher than from harvests. Blubber cortisol was higher in the threatened population when compared to healthy populations.
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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) | 0.001 | 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".