Moral Prioritization and Consistency in Adolescents’ Moral Decision-Making: The Role of Moral Identity Abstraction
Bibliographic record
Abstract
Moral identity predicts moral decision-making and behavior. Moral identity goal theory claims that moral identity becomes more abstract with age. A concrete construal of moral identity refers to thinking of temporally more recent context specific moral actions, whereas an abstract construal of moral identity encompasses temporally more distant and generalized moral values. Construal level has been shown to be related to decision-making in a variety of areas (e.g. health) including the moral domain. In this study, we collected data from 246 early adolescents (Mage =13.32, 123 females) and 250 young adult university students (Mage =19.94, 181 females) about moral identity and decision-making in hypothetical scenarios. We found that moral identity was more abstract in the older age group. Moreover, moral identity abstraction predicted the prioritization of moral concerns over conflicting self-interest as well as greater consistency in moral decision-making across situations. The findings provide empirical support for moral identity abstraction as an important aspect of moral identity development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".