Evaluation of Male Inter-Troop Transfer as a Mating Strategy among Ring-Tailed Lemurs on St. Catherines Island, USA
Bibliographic record
Abstract
One commonly cited function of dispersal is to increase mating opportunities. In this study, I evaluated the hypothesis that male inter-troop transfer is used as a mating strategy in ring-tailed lemurs, Lemur catta, on St. Catherines Island (SCI), Ga., USA. I measured male mating success and inter-troop transfer behavior across 5 years in a population consisting of 4 lemur groups on SCI. Data strongly supported dispersal as a successful mating strategy of natal males, because these males did not mate within their natal groups, but always mated in their new groups of entry. For secondary male dispersal (transfers between 2 non-natal groups), data on 2 males collected in breeding seasons immediately prior to and following transfer show that their individual mating success measures increased following a transfer. Data revealed that among non-natal males, high-ranking males on SCI were more likely to transfer between groups than lower-ranking males, which is somewhat contrary to the more common trend among primates of lower-ranking males transferring more frequently. In sum, male primary dispersal appears to function as a mating strategy among male L. catta on SCI, with indications that secondary dispersal may also be successful at increasing male mating success.
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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 | 0.000 |
| 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".