An Emotion's Emergence, Unfolding, and Potential for Empathy: A Study of Resentment by the “Psychologist of Avon”
Bibliographic record
Abstract
To understand human emotions we need, alongside appraisal, the concept of emergence (derivation from the expectations of relationships) and the concept of unfolding (of sequences that can be expressed as narratives). These processes can be seen in resentment, which has not been studied extensively in psychology. It is associated with envy, and it can be thought of as a kind of destructive anger. Such issues can be studied in works of literature: simulations of the social world in which emotions can be experienced by means of empathy. Shakespeare's Othello enables us to understand the emergence and unfolding of resentment in Iago, who is passed over for promotion and improvises a plan to destroy Othello. Iago's resentment is difficult to empathize with, and the play raises the question of whether we need to recognize in ourselves the capacity for reprehensible emotions.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".