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Record W2096301313 · doi:10.1037/a0022540

Moral identity and the experience of moral elevation in response to acts of uncommon goodness.

2011· article· en· W2096301313 on OpenAlexafffund
Karl Aquino, Brent McFerran, Marjorie Laven

Bibliographic record

VenueJournal of Personality and Social Psychology · 2011
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsVancouver Island UniversityUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsProsocial behaviorPsychologyElevation (ballistics)Social psychologyMoralityMoral disengagementIdentity (music)CentralityMoral psychologyEpistemology

Abstract

fetched live from OpenAlex

Four studies using survey and experimental designs examined whether people whose moral identity is highly self-defining are more susceptible to experiencing a state of moral elevation after being exposed to acts of uncommon moral goodness. Moral elevation consists of a suite of responses that motivate prosocial action tendencies. Study 1 showed that people higher (vs. lower) in moral identity centrality reported experiencing more intense elevating emotions, had more positive views of humanity, and were more desirous of becoming a better person after reading about an act of uncommon goodness than about a merely positive situation or an act of common benevolence. Study 2 showed that those high in moral identity centrality were more likely to recall acts of moral goodness and experience moral elevation in response to such events more strongly. These experiences were positively related to self-reported prosocial behavior. Study 3 showed a direct effect on behavior using manipulated, rather than measured, moral identity centrality. Study 4 replicated the effect of moral identity on the states of elevation as well as on self-reported physical sensations and showed that the elevation mediates the relationship between moral identity, witnessing uncommon goodness, and prosocial behavior.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.293
GPT teacher head0.390
Teacher spread0.096 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations467
Published2011
Admission routes2
Has abstractyes

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