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Record W2270720830 · doi:10.1159/000433502

What Develops in Moral Identities? A Critical Review

2015· review· en· W2270720830 on OpenAlexaff
Tobias Krettenauer, Steven G. Hertz

Bibliographic record

VenueHuman Development · 2015
Typereview
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsConstruct (python library)Social cognitive theory of moralityMoral developmentMoral disengagementIdentity (music)Moral psychologyContext (archaeology)PsychologySocial psychologyMoral reasoningDevelopmental stage theoriesMoral authorityScope (computer science)EpistemologySociologyDevelopmental psychology

Abstract

fetched live from OpenAlex

According to the standard model of moral identity development, moral identities emerge during adolescence and early adulthood. Contrary to this assumption, however, moral identity research has consistently failed to demonstrate any age-related change in this developmental period. The present paper discusses implications of this non-finding. It is argued that researchers need to broaden the scope of inquiry and include developmental aspects of the moral identity construct that have been neglected in the past. Three areas are identified where moral identity development likely occurs in adolescence and beyond: (1) context-dependent differentiation and integration of the self-importance of moral values, (2) growth in internal moral motivation and (3) unfolding of narratives of moral responsibility. It is suggested that any systematic investigation into these areas will reveal important developmental changes in moral identities and, thus, will confirm the developmental nature of the moral identity construct.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.006
Science and technology studies0.0010.003
Scholarly communication0.0030.004
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.306
GPT teacher head0.484
Teacher spread0.178 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations106
Published2015
Admission routes1
Has abstractyes

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