ERN and the placebo: A misattribution approach to studying the arousal properties of the error-related negativity.
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Bibliographic record
Abstract
Performance monitoring in the anterior cingulate cortex (ACC) has largely been viewed as a cognitive, computational process devoid of emotion. A growing body of research, however, suggests that performance is moderated by motivational engagement and that a signal generated by the ACC, the error-related negativity (ERN), may partially reflect a distress response to errors. Although suggestive, this past work is hampered by use of correlational designs or by designs that confound affect and cognitive performance. Here we use the misattribution of arousal paradigm--an experimental paradigm that pilot research shows can dissociate affect from cognitive performance--to investigate the extent to which the ERN has arousal properties. Forty university students completed a misattribution of arousal paradigm by consuming a beverage they believed would either increase their anxiety or would have no side effects and then completed a go/no-go task while we recorded ERNs. Results indicate that participants who were given the opportunity to misattribute arousal exhibited a reduced ERN compared with participants who were not given any misattribution cues. This occurred despite no measurable differences in performance on the go/no-go task. In addition, correlations between the ERN and behavior were observed only for participants who did not misattribute their arousal to the placebo beverage. Taken together, these results suggest that the ERN is dissociable from cognitive performance but not negative affect.
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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 | 0.001 | 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) | 0.000 | 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