Cognitive underpinnings of moral reasoning in adolescence: The contribution of executive functions
Bibliographic record
Abstract
Adolescence is a developmental period characterized by intense changes, which impact the interaction between individuals and their environments. Moral reasoning (MR) is an important skill during adolescence because it guides social decisions between right and wrong. Identifying the cognitive underpinnings of MR is essential to understanding the development of this function. The aim of this study was to explore predictors of MR in typically developing adolescents (n = 92, 33 males, M = 16.3 years, SD = 2.2 years) and the specific contribution of higher order cognitive processing using an innovative visual MR assessment tool and measures of executive functioning and intelligence. MR maturity was correlated with four executive functions (cognitive flexibility, feedback utilization, conceptual reasoning, verbal fluency) and was predicted by four variables: age, intelligence, nonverbal flexibility and verbal fluency. Overall, these results contribute to a better understanding of MR during adolescence and highlight the importance of using innovative tools to measure social cognition.
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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 | 0.001 | 0.005 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".