Retrospective and Prospective Reports of Precipitants to Relapse in Pathological Gambling.
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
A prospective design was used to explore the precipitants of relapse in a naturalistic sample of pathological gamblers (N = 101) who had recently quit gambling. Relapse rates were high; only 8% were entirely free of gambling during the 12-month follow-up. Relapses were highly variable but occurred most frequently in the evening, when the person was alone and thinking about finances. Moods prior to the gambling were as likely to be positive as negative. The most frequently reported attributions, particularly for major relapses, were cognitions about winning and feeling the need to make money, unlike substance abuse relapses that tend to be attributed to negative affect. Some gender differences were found, but the precipitants of shorter and longer relapses did not differ.
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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 | 0.002 | 0.002 |
| 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 | 0.001 |
| 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