ASSESSMENT OF REPEATABILITY AND BEHAVIORAL SYNDROMES IN GENETICALLY DISTINCT CLADES OF EASTERN RED-BACKED SALAMANDERS (PLETHODON CINEREUS)
Bibliographic record
Abstract
Animal personality implies limited behavioral plasticity and behavioral traits which are correlated across contexts. Correlated behaviors, sometimes referred to as behavioral syndromes, have the potential to inhibit behavioral traits from evolving independently. Limits on behavioral variation can influence a population’s ability to invade new geographic areas and exploit new niches. One way to explore such variation is to examine behavioral syndromes in genetically distinct populations of wide-ranging species that exhibit different dispersal pathways and distances. The personality-dependent dispersal syndrome suggests that certain traits, such as exploratory and risk-taking behavior, are correlated with dispersal success. The Eastern Red-backed Salamander (Plethodon cinereus) is found throughout much of the eastern US and southeastern Canada. Genetic data on clade membership suggests that the Northern clade dispersed from North Carolina up the eastern seaboard and moved westward through southern Canada, south through Michigan, northwestern Ohio and northeastern Indiana. The Ohio clade was thought to migrate northward from the central Appalachians through Ohio to the southwest shore of Lake Erie. The unique and extensive distribution of the Northern clade suggests that behavioral traits may contribute to the dispersal success of these individuals. My results reveal differences in exploratory, neophilic, and bold behaviors between clades which may be best described by the proactive-reactive hypothesis. Contrary to my initial hypothesis, the Northern clade was less exploratory, neophilic, and bold than the Ohio clade. As such, the Northern clade may be better characterized as reactive and the Ohio clade as proactive. I posit that personality traits and syndromes which may affect dispersal were potentially influenced by ecological pressures including predation, density, competition, and environmental heterogeneity that were experienced by these individuals in the wild.
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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) | 0.000 | 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".