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Record W4387959467 · doi:10.1163/1568539x-bja10248

In female degus, reunions are less variable when relationships are new

2023· article· en· W4387959467 on OpenAlex
Amber Thatcher, Nathan Insel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBehaviour · 2023
Typearticle
Languageen
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsPsychologyNoveltyDominance (genetics)Socioemotional selectivity theoryDevelopmental psychologyPredictabilitySocial relationshipSocial relationSocial psychologyBiology

Abstract

fetched live from OpenAlex

Abstract When establishing new peer relationships, animals may explore different modes of interaction, testing-out dominance roles, reciprocation of affiliation, and responses to investigation. This exploration is potentially risky, as higher variability may be counterproductive to establishing expectations and trust. There is therefore a tradeoff between exploration within a new social relationship and maintaining predictable, ‘safe’ behaviours, raising questions about how animals differ in how they engage with strangers. The Chilean degu offers an opportune case study to investigate novel social situations, as females form relationships relatively rapidly with unrelated peers. We presented degu dyads with a series of 20 min ‘reunion’ sessions and found that session-to-session variability in stranger females is, in fact, lower than in cagemates, and lower than stranger or cagemate males. Reduced variability was observed only after an initial social exposure, suggesting it was a feature of new relationships rather than novelty. There was no evidence that groups differed in predictability of behaviours within a reunion. It is known that in the wild, female degus differ from males by readily forming cooperative relationships with unrelated individuals. The data therefore raise the possibility that animals predisposed to cooperation might also show reduced behavioural variability across encounters with new individuals. This work offers new results and methods for considering strategies animals use to cope with social uncertainty.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.004

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.

Opus teacher head0.157
GPT teacher head0.354
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it