Psychotherapy and Outcome Research in PTSD: Understanding the Challenges and Complexities in the Literature
Bibliographic record
Abstract
The author reviews the existing literature on posttraumatic stress disorder (PTSD, American Psychiatric Association, 2000) as it relates to outcome research and psychotherapy. An initial examination of the issues involved in outcome research includes the issue of assessment and diagnosis, followed by the issue of measurement. The article is meant to assist those counsellors who are interested in the treatment of PTSD and understanding the complexities and challenges involved in determining what works and what does not. The author makes suggestions regarding how to approach the literature on PTSD, as well as issues in treating clients suffering from PTSD.
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.
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 | 0.238 | 0.409 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.027 | 0.024 |
| Science and technology studies | 0.007 | 0.034 |
| Scholarly communication | 0.024 | 0.035 |
| Open science | 0.006 | 0.010 |
| Research integrity | 0.012 | 0.015 |
| 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".