Dreams of Recovering Alcoholics: Mood, Dream Content, Discovery, and the Storytelling Method of Dream Interpretation
Bibliographic record
Abstract
The current study examined the dream content and dream meaning (discovery) via The Storytelling Method of Dream Interpretation (TSM) from the dreams of recovering alcoholics (N=29) compared to a matched sample of non-alcoholics (N=29). The study also examined the dreams and meaning of dreams in relation to waking day mood. Findings from the study revealed that the dreams of recovering alcoholics differ significantly from non-alcoholics and the dreams provide insight into the mood of recovering alcoholics. Discovery via TSM was found to be relevant, meaningful, and helpful in terms of waking life issues. Furthermore, regression analyses provide predictive evidence of discovery from the dream content for recovering alcoholics. Analyses comparing discovery categories revealed that the major discovery categories for recovering alcoholics include: sobriety, past events, emotions, and a positive future. It appears that TSM is a useful mode of therapy for gaining insight into recovery of alcohol addiction and waking day mood. Limitations, future research, and clinical applications are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".