Exploratory and risk-taking behaviours in coexisting rodents
Bibliographic record
Abstract
Abstract There has been an increasing interest in modelling the influence of animal personality on species interactions within ecosystems. Animal personality traits associated with dispersal, movement within a home range and risk-taking, including docility and exploration, have been shown to influence an array of environmental variables including seed dispersal and habitat availability. Despite growing interest however, little information is available to model the effects of differences in personality phenotypes among coexisting species. Since coexisting or sympatric species often compete for resources, differences in movement patterns can help mitigate the impact of intra- and interspecific competition. We used two standardized behavioural tests with three species of coexisting rodents in Algonquin Provincial Park, Ontario, Canada to measure exploration and docility personality phenotypes. To evaluate personalities, we modelled plastic changes in behaviours within species and phenotypic variation in behavioural strategies among species. We show empirical evidence to support differences in personality phenotypes in coexisting species and consider the importance of alternative personality strategies in shaping community dynamics.
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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 | 0.001 |
| 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 | 0.001 |
| 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".