Sobering stories: Narratives of self-redemption predict behavioral change and improved health among recovering alcoholics.
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
The present research examined whether the production of a narrative containing self-redemption (wherein the narrator describes a positive personality change following a negative experience) predicts positive behavioral change. In Study 1, we compared the narratives of alcoholics who had maintained their sobriety for over 4 years with those of alcoholics who had been sober 6 months or less. When describing their last drink, the former were significantly more likely to produce a narrative containing self-redemption than the latter. In Study 2, we examined the relation between the profession of self-redemption and behavioral change using a longitudinal design, by following the newly sober alcoholics from Study 1 over time. Although indistinguishable at initial assessment, newly sober alcoholics whose narratives included self-redemption were substantially more likely to maintain sobriety in the following months, compared to newly sober alcoholics who produced nonredemptive narratives; 83% of the redemptive group maintained sobriety between assessments, compared to 44% of nonredemptive participants. Redemptive participants in Study 2 also demonstrated improved health relative to the nonredemptive group. In both studies, the effects of self-redemption on sobriety and health held after controlling for relevant personality traits, alcohol dependence, recovery program involvement, initial physical and mental health, and additional narrative themes. Collectively, these results suggest that the production of a self-redemptive narrative may stimulate prolonged behavioral change and thus indicate a potentially modifiable psychological process that exhibits a major influence on recovery from addiction.
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) | 0.000 | 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 it