MétaCan
Menu
Back to cohort

Human Morality Is Based on an Early-Emerging Moral Core

2022· article· en· W4294549712 on OpenAlex

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

VenueAnnual Review of Developmental Psychology · 2022
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMoralitySocializationMoral developmentMoral disengagementSocial cognitive theory of moralityPsychologyCore (optical fiber)Variety (cybernetics)Social psychologyEnvironmental ethicsSociologyEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Scholars from across the social sciences, biological sciences, and humanities have long emphasized the role of human morality in supporting cooperation. How does morality arise in human development? One possibility is that morality is acquired through years of socialization and active learning. Alternatively, morality may instead be based on a “moral core”: primitive abilities that emerge in infancy to make sense of morally relevant behaviors. Here, we review evidence that infants and toddlers understand a variety of morally relevant behaviors and readily evaluate agents who engage in them. These abilities appear to be rooted in the goals and intentions driving agents’ morally relevant behaviors and are sensitive to group membership. This evidence is consistent with a moral core, which may support later social and moral development and ultimately be leveraged for human cooperation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.000

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 head0.060
GPT teacher head0.401
Teacher spread0.341 · 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