Lucid Dreaming as a Treatment for Recurrent Nightmares
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
BACKGROUND: Lucid dreams occur when a person becomes aware that he or she is dreaming while still in the dream state. Previous reports on the use of lucid dreaming in the treatment of nightmares do not contain adequate baseline data, follow-up data, or both. METHODS: A treatment of recurrent nightmares incorporating progressive muscle relaxation, guided imagery, and lucid dream induction is presented for 2 case studies. Three other cases were treated with lucid dream induction alone. The duration of the nightmares ranged from once every few days to once every few months. RESULTS: The procedures were effective in all 5 cases. A 1-year follow-up showed that 4 of the subjects no longer had nightmares and that 1 subject experienced a decrease in the intensity and frequency of her nightmares. CONCLUSIONS: The alleviation of recurrent nightmares in these 5 cases parallels the results reported by other authors who have used training in lucid dreaming to treat nightmares. Our results support the idea that treatments based on lucid dream induction can be of therapeutic value. Based on these and other case studies, it remains unclear whether the principal factor responsible for the alleviation of nightmares is lucidity itself, or the ability to alter some aspect of the dream.
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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 | 0.000 | 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