Effect of behavioral marginality on survival of an alpine ungulate
Bibliographic record
Abstract
Abstract Inter‐individual variability in behavior has been studied extensively for a wide range of species. However, few researchers have considered marginality, defined as the degree to which a choice made by an individual is located at the margins of the distribution of all possible choices available to a particular population. We explored the influence of marginal behaviors on the probability of survival of woodland caribou (Rangifer tarandus caribou). We usedGPScollars to record the movement and fate of 43 caribou and distributed their habitat use behavior along two axes of a multidimensional scaling. We used Cox proportional‐hazards models to evaluate whether marginality had an effect on mortality risk. We found that individuals that exhibited marginal behavior had higher mortality risk than more conformist individuals. Caribou is a social species; thus, sharing a common habitat use strategy is likely an adaptation for minimizing the risk of predation. Our findings provide an empirical link between behavior and survival, contributing to our understanding of the decline ofRangiferacross much of its Canadian distribution.
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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 | 0.002 |
| 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) | 0.001 | 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".