Appraisal Antecedents of Shame and Guilt: Support for a Theoretical Model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Four studies used experimental and correlational methods to test predictions about the antecedents of shame and guilt derived from an appraisal-based model of self-conscious emotions (Tracy & Robins, 2004). Results were consistent with the predicted relations between appraisals (i.e., causal attributions) and emotions. Specifically, (a) internal attributions were positively related to both shame and guilt; (b) the chronic tendency to make external attributions was positively related to the tendency to experience shame; and (c) internal, stable, uncontrollable attributions for failure were positively related to shame, whereas internal, unstable, controllable attributions for failure were positively related to guilt. Emotions and attributions were assessed using a variety of methods, so converging results across studies indicate the robustness of the findings and provide support for the theoretical model.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it