Emotion and the moral lives of adolescents: Vagaries and complexities in the emotional experience of doing harm
Bibliographic record
Abstract
Far from being unthinking energies or irrational impulses that control or push people around, emotions are intricately connected to the way people perceive, understand, and think about the world. As such, emotions are also an inextricable part of people's moral lives. As people go about making moral judgments and decisions, they do not merely apply abstract principles in a detached manner. Their emotions--their loves and sympathies, angers and fears, grief and sadness, guilt and shame--are inseparable from how they make sense of and evaluate their own and others' actions, the way things are, and the ways things ought to be. While this is not to say that emotions have a privileged role in morality, it does mean that emotions cannot be reasonably sidelined from the study of people's moral lives. Thus, an important part of formulating a theory of moral development is to articulate a framework for capturing children's relevant emotional experiences in the context of morally laden events. Such a framework should also help us understand how these sometimes turbulent or bewildering experiences inform, enrich, and change children's thinking about what is right and wrong and about themselves as moral agents. This article considers the research on the relation between emotion and moral thinking, offers a perspective that aims to broaden and elaborate our understanding of the connections between emotion and morality in adolescence, and sets a new agenda for research on this topic.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| 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".