Personality differences in a translocated population of endangered kangaroo rats (Dipodomys stephensi) and implications for conservation success
Bibliographic record
Abstract
Personality affects how animals respond to challenging circumstances and may affect the success of conservation translocations. To assess personality in translocated Stephens’ kangaroo rats we exposed animals to a mirror to simulate a conspecific and to predator scent. Observers made subjective ratings of animals using 16 traits and recorded behaviour. We assayed faecal cortisol at time of capture and during captivity. We identified three personality dimensions: Assertiveness, Excitability, and Persistence. Individuals received similar scores for these dimensions in the two tests, suggesting consistent differences across context. High-Assertiveness animals showed risky behaviour, and had lower baseline cortisol. Assertiveness corresponds to ‘proactive-reactive coping’ described for other rodents. High-Excitability animals were scored as high for Anxious and Fearful; this dimension may correspond to ‘emotional-reactivity’ described in rats. Considering personality in translocations may allow selection of individuals who better cope with stressors, and may identify individuals needing special care to survive translocation.
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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 | 0.000 | 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".