On the Regulatory Functions of Mood: Affective Infl uences on Memory, Judgments and Behavior
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
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 | 0.001 |
| 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