Adolescent Naturalistic Conceptions of Moral Maturity
Bibliographic record
Abstract
Abstract Understanding lay conceptions of morality is important not only because they can guide moral psychology theory but also because they may play a role in everyday moral functioning. Thus, the purpose of this study was to examine adolescent conceptions of moral maturity. Study 1 (200 adolescents 12–18 years) involved a free‐listing procedure to generate traits descriptive of a moral person. In Study 2, involving 100 early (11–14 years) and 99 late (15–18 years) adolescents, the moral person traits obtained in the first study were rated in terms of how well they described a moral person. Study 3, with 234 early (10–14 years) and 240 late (15–18 years) adolescents, entailed a similarity‐sorting task and a rating procedure similar to that from Study 2. This set of studies uncovered early and late adolescents' implicit typologies of moral maturity and pointed to possible age similarities and differences.
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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 | 0.006 |
| 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".