Accessibility of alcohol expectancies from memory: impact of mood and motives in college student drinkers.
Bibliographic record
Abstract
OBJECTIVE: It has been hypothesized that alcohol outcome expectancies (AOEs) exist within an associative memory network and that their accessibility is facilitated in the presence of alcohol-related cues. The purpose of the present study was to examine whether the accessibility of specific AOEs varies as a function of mood state and gender and to determine whether this relationship is moderated by affect-related drinking motives. METHOD: Undergraduate students (N = 302) were randomly assigned to one of three conditions (i.e., positive, negative and neutral mood). Mood states were achieved using musical mood-induction procedures. Postmood-induction AOEs, obtained using self-generation, were classified into five expectancy categories: social/ situational enhancement (SSE), positive emotional functioning (PEF), relaxation/tension reduction (RTR), physical/pharmacological effects (PPE) and miscellaneous (MISC). RESULTS: Logistic regression analyses revealed that SSE and RTR expectancies were differentially accessible across mood conditions. SSE expectancies were most highly accessible to participants in a positive mood, and RTR expectancies were most highly accessible to participants in a relatively neutral mood. Although drinking motives did not moderate the AOE-mood relationship, they emerged as significant predictors of SSE and RTR expectancies. The accessibility of specific AOEs differed among men and women. CONCLUSIONS: The findings suggest that mood serves as an implicit prime for the accessibility of specific AOEs. The implications of these findings for research concerning memory-based, cognitive-affective expectancy networks are discussed.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".