Natal dispersal and social organization of the swamp antechinus (Antechinus minimus) in a high-density island population
Bibliographic record
Abstract
Radiotelemetry, mark–recapture trapping, and microsatellite analysis of genetic variation among three subpopulations were used to investigate the natal dispersal patterns, genetic structure, and social organization within a high-density island population of an insectivorous marsupial, the swamp antechinus ( Antechinus minimus (É. Geoffroy Saint-Hilaire, 1803)). Both demographic and genetic data indicated a high degree of philopatry for both sexes. Associated with high philopatry is low gene flow, often leading to high population genetic structuring. However, there was only weak evidence to support this; allele frequencies and genotype composition of one population tended to be different from the other two. Interestingly, timing of breeding of this subpopulation was delayed compared with the other two subpopulations. The philopatry of both sexes and the apparent lack of kin avoidance behaviour could lead to inbreeding. However, no apparent inbreeding effects were observed and offspring survival was high compared with mainland populations. The fact that male home-range size increased during the breeding season, overlapping with several females, and single females were found nesting with different males at the time of mating (and vice versa) indicates a promiscuous mating system. Potentially, this may reduce inbreeding to some extent. Alternatively, inbreeding may not be purposefully avoided, potentially leading to purging of detrimental alleles, thereby reducing their damaging effects on inbreeding.
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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) | 0.000 | 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".