Deterring arctic fox predation: the role of parental nest attendance by lesser snow geese
Bibliographic record
Abstract
High parental attendance at nests can improve nesting performance in birds by shortening the nesting period and by deterring predators that do not force birds off of nests. We examined how parental nest attendance by lesser snow geese (Chen caerulescens caerulescens) affected (i) foraging behaviours of arctic foxes (Alopex lagopus) and (ii) egg loss by geese exposed to arctic foxes at a large goose colony on Banks Island, N.W.T., Canada. Unattended nests and nests attended by single females suffered much greater egg loss to foxes than nests attended by paired geese. This resulted from foxes attacking unattended nests and single females far more frequently than expected by chance and from geese associated with such nests offering little or no resistance to foxes. Paired geese, in contrast, were avoided by foxes and also showed greater resistance to foxes than single females and unattended nests. Nest attendance by male geese can therefore be important in reducing egg loss to arctic foxes, but it may play an even greater role in reducing egg loss to arctic foxes in small colonies or during colony formation, when the ratio of predators to nests is generally high.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.003 | 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 teacher head, 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".