Bidirectional prospective associations between behavioral economic indicators and drinking patterns during alcohol use disorder natural recovery attempts.
Bibliographic record
Abstract
OBJECTIVES: Behavioral economic (BE) theory posits that harmful alcohol use is a joint product of elevated alcohol demand and preference for immediate over delayed rewards. Despite cross-sectional research support, whether expected bidirectional relations exist between BE indicators and drinking during recovery attempts is unknown. Therefore, this prospective research investigated quarter-by-quarter cross-lagged associations between BE simulation tasks and drinking following a natural recovery attempt. Higher demand and discounting in a given quarter should predict subsequent drinking. Conversely, drinking in a given quarter should predict subsequent higher demand and discounting. METHOD: , elasticity) were assessed at baseline and 3-, 6-, 9-, and 12-month follow-ups. Longitudinal cross-lagged models related each BE indicator in the previous quarter to drinking status in the next quarter, and vice versa. RESULTS: s < .05). Hypothesized associations for other BE indices were inconsistent or partially supported. CONCLUSIONS: Alcohol purchase task metrics showed some hypothesized prospective associations with drinking during a natural recovery attempt, which supports their ecological validity as relapse risk indicators. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".