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The Evolution of Moral Dispositions in the Human Species

2000· article· en· W2087476101 on OpenAlexaff
Dennis L. Krebs

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEvolutionary Game Theory and Cooperation
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsLawrence Kohlberg's stages of moral developmentMoral developmentMoralitySocial cognitive theory of moralityMoral reasoningMoral disengagementPsychologyPerspective (graphical)Moral psychologySocial psychologyEpistemologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Kohlberg's model of moral development is viewed from the perspective of evolutionary biology. Moral judgments defining Kohlberg's stages of moral development are seen as manifestations of structures evolved to uphold systems of cooperation. Game theory research on adaptive strategies of cooperation supports the conclusion that humans inherit dispositions to uphold the systems of cooperation implicit in the first three stages in Kohlberg's sequence, but not the systems of cooperation implicit in the highest stages. The empirical evidence on real-life morality is more consistent with a biological model of ontogenesis than is the model espoused by Kohlbergians. Although people occasionally make moral judgments in their everyday lives to reveal their solutions to moral dilemmas, as Kohlberg's model assumes, they more often make moral decisions that advance their adaptive interests.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.361
Teacher spread0.268 · 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; both teacher heads agree on what is shown here.

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

Citations14
Published2000
Admission routes1
Has abstractyes

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