Open label pilot study on posttrauma health impacts of the Processing of Positive Memories Technique (PPMT).
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
=29.25 years; 58.30% women). We used the reliable change indices and clinically significant change score approach. The following number of participants showed statistically reliable changes: 9 participants for PTSD severity (8 recovered/improved); 6 participants for depression severity (5 improved); 5 participants for positive affect levels (2 recovered/improved); 9 participants for negative affect levels (8 recovered); 9 participants for posttrauma cognitions (7 recovered/improved); 5 participants for positive emotion dysregulation (4 recovered); 11 participants for number of retrieved positive memories (3 recovered); and 5 participants for therapeutic alliance (4 recovered). PPMT may impact certain posttrauma targets more effectively (PTSD, depression, negative affect, posttrauma cognitions). PPMT may be more helpful in improving regulation rather than levels of positive affect. PPMT, if supported in further investigations, may add to the clinician tool-box of PTSD interventions.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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