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Record W2029508289 · doi:10.1080/15283488.2013.776497

Remembering Your (Im)Moral Past: Autobiographical Reasoning and Moral Identity Development

2013· article· en· W2029508289 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIdentity · 2013
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsWilfrid Laurier University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyMoral developmentMoral disengagementSocial cognitive theory of moralityIdentity (music)Social psychologyMoral reasoningNarrativeMoral psychologyMoralityDevelopmental psychologyEpistemology

Abstract

fetched live from OpenAlex

Narratives about positive and negative life events have been shown to be associated with identity development. The present study extends this line of research by investigating how individuals’ autobiographical memories about their past immoral and moral actions relate to moral identity development. The authors interviewed 131 participants from 3 age periods (adolescence, emerging adulthood, adulthood) about past events in which they did something right or wrong and felt either good or bad about it. The authors assessed moral identity development by the self-centrality of moral values and by internal moral motivation. Results demonstrated that older participants and participants with higher internal moral motivation drew stronger connections between their current self and past moral and immoral actions. Moreover, individuals with higher internal moral motivation more often acknowledged the conflicting nature of these events. Taken together, the findings indicate that the way individuals remember their own (im)moral past is associated with moral identity development.

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 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 score0.024
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
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.041
GPT teacher head0.320
Teacher spread0.279 · 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