Grey seal maternal attendance patterns are affected by water availability on North Rona, Scotland
Bibliographic record
Abstract
Previous studies on grey seals (Halichoerus grypus) have shown that pools of water influence female distribution within inland breeding colonies. This study reveals that the availability of pools also affects maternal attendance patterns and may have implications for breeding success. An atypical dry period at the start of the 1998 breeding season on North Rona, Scotland, followed by a normal wet period, provided a natural experiment that allowed us to examine female behaviour in relation to the availability of pools. During the dry period, lactating grey seals (i) travelled long distances to gain access to water; (ii) had significantly greater rates of locomotion towards water and resulting from interactions between conspecifics; and (iii) spent significantly less time close to their pups. Long-distance locomotion and a reduction in time spent with the pup often lead to permanent mother-pup separation, resulting in starvation of the pup. However, the immediate need to gain access to water for thermoregulation or maintenance of a positive water balance outweighed the potential costs of reproductive failure, emphasising the importance of water for lactating grey seals even during the relatively cold and damp breeding season in the U.K.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".