Age- and sex-specific settlement patterns of chamois (Rupicapra rupicapra) offspring
Bibliographic record
Abstract
The social, spatial, and genetic structures of populations depend on where offspring settle and reproduce in relation to their parent’s home range. However, the patterns of settlement in wild populations of large mammals are often poorly described owing to the difficulty of monitoring mother–offspring pairs over a long period. Here, we investigated sex-specific settlement patterns in chamois ( Rupicapra rupicapra (L., 1758)) based on the study of 31 mother–offspring pairs. We calculated the distance between the center of the mother’s range and the center of her offspring’s range, and tested whether this distance differed when the offspring was immature (i.e., a yearling) and after offspring sexual maturity (>2 years of age). We found no sex effect on the distance between centers of mother and offspring ranges for yearling offsprings. However, mature sons ranged farther away from their mother than mature daughters. Daughters appear to settle close to their mother’s home range. The distance at which a daughter settles compared with her mother’s range seems to be determined before 2 years of age. On the contrary, the distance between the center of the locations of yearling males and the center of locations of their mother does not predict how far away males will eventually settle when mature. We discuss the implications of these patterns for generating female social structures, as well as population spatial and genetic structures.
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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) | 0.002 | 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".