Do social factors related to allostatic load affect stereotypy susceptibility? Management implications for captive social animals
Bibliographic record
Abstract
Abstract Stereotypies are frequently associated with sub-optimal captive environments and are used as welfare indicators. However, susceptibility to stereotypy can vary across individuals of the same group. As such, identifying which individuals are more susceptible to this behaviour may be helpful in managing this issue. We have investigated which sex-age class of semi-captive capuchin monkeys (Sapajus spp) is more susceptible to stereotypic behaviours and evaluated whether or not they are also more affected by the social factors that typically influence and increase allostatic load. To accomplish this, we used instantaneous sampling to collect data on a group of capuchins kept on an island in an urban park in São Paulo, Brazil. We found that sub-adult males were the only sex-age class to display stereotypic behaviours and they all displayed pacing. Furthermore, 33% of sub-adult males also exhibited a second stereotypic behaviour associated with their pacing. Compared to the other sex-age classes, sub-adult males had a higher participation in social conflicts and experienced higher social isolation. Sub-adult males also demonstrated a lower level of positive social interactions. All of these factors typically increase allostatic load. We suggest that distal causation of the observed pacing behaviour would be the ecological/evolutionary need of sub-adult males to disperse from their natal group and that the proximal causation would relate to the high allostatic load from social sources. We recommend that managers of zoos and other facilities monitor changes in the social composition of captive groups and evaluate individuals’ age so that necessary alterations may be made, where appropriate, to reduce allostatic load and generate better welfare at individual and group levels.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".