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Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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TEMPORAL ECOLOGIES AND LIVED EXPERIENCE: INTERPRETING CHACMA BABOONS IN DIALOGUE WITH ALBERT AND KESSLER

Authors: Thompson, Elias Reuben;

TEMPORAL ECOLOGIES AND LIVED EXPERIENCE: INTERPRETING CHACMA BABOONS IN DIALOGUE WITH ALBERT AND KESSLER

Abstract

Although leave-taking in non-human species has been preliminarily investigated in a few species, the mechanisms driving encounter ends remain unstudied. In 1976 Albert and Kessler published a landmark paper, outlining theories about what drives social encounter ends and providing a framework of internal and external motivations leading to separation. This framework has been underused in aiding our understanding of how proximate mechanisms for separation drive leave-taking and offers a valuable opportunity to better understand how separation and behavior relate to one another. Having previously identified leave-taking in wild chacma baboons (Papio ursinus), in the current paper, we apply this framework to their leave-taking to better understand how the motivations to leave impact leave-taking. Using GLMMs with binomial error structure, our results suggest that internal motivations to end interactions are better predictors of orientation-shifting behavior when compared to external motivations. We argue that these results validate the use of Albert and Kessler's framework across species and suggest that leave-taking may have evolved to signal internal drivers of interaction ends, a behavior that has become elaborated in human behavior. 

Keywords

Leave-Taking, Interaction, Baboon, Separation, Evolution

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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