On the Regulatory Functions of Mood: Affective Infl uences on Memory, Judgments and Behavior
Bibliographic record
Abstract
This chapter provides an integrative approach that combines insights from both behavioral and neuroscience methods and concepts the approach called cultural neuroscience. Festinger argued that when people make an important choice, they often feel conflicted about the choice, since some of the attributes of the rejected option may actually be quite desirable and some of the attributes of the chosen option may actually be less than ideal. This cognitive conflict is aversive to the chooser and results in increased negative arousal. This negatively arousing conflict is called cognitive dissonance. The pattern of reappraisal leads to an effect called Spreading of Alternatives (SoA). For Canadian participants, the SoA effect was augmented in the negative feedback condition. There are three published studies that examined SoA in brain activity. Chen and Risen argument reformulated whether the Regression toward True Attitudes (RTTA) artifact presents a real threat to validity of SoA as a measure of choice justification will depend crucially on certain methodological considerations.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".