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Constraints on the Evolution of Reciprocity: An Experimental Test with Zebra Finches

2010· article· en· W2116248551 on OpenAlexafffund
Karine Larose, Frédérique Dubois

Bibliographic record

VenueEthology · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicEvolutionary Game Theory and Cooperation
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
FundersNatural Sciences and Engineering Research Council of CanadaFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsReciprocity (cultural anthropology)DilemmaCognitive psychologyForagingPsychologySocial psychologyBiologyCommunicationEcologyMathematics

Abstract

fetched live from OpenAlex

Reciprocity is apparently uncommon in animal societies because it requires, to evolve, specialized cognitive abilities that most species would not possess. In particular, memory would be important because cooperation can emerge and be maintained only if the same opponents interact repeatedly and adjust their decisions to their opponent’s previous move. To investigate how these constraints influence reciprocity, we first conducted a preliminary foraging experiment with zebra finches (Taeniapygia guttata) to insure that corticosterone elevations impaired the birds’ event memory capabilities. Then, we performed a reciprocity experiment with established pairs that were tested in a two-choice apparatus under two different conditions: once with an empty implant and once with an implant of corticosterone. We found that the birds were capable of sustained cooperation in the Prisoner’s Dilemma treatment but only when they had an empty implant. Thus, our results support the hypothesis that limitations in event memory constraint the frequency of reciprocity and hence would make this form of cooperation difficult for non-human animals. In addition, as levels of stress hormones can differ greatly among individuals, our findings might also contribute explaining individual variation in the propensity to cooperate.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.023
GPT teacher head0.313
Teacher spread0.290 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2010
Admission routes2
Has abstractyes

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