Treatment of PTSD and adjustment disorders in combatants and veterans using Acceptance and Responsibility Therapy (ACT): Theses for future research
Bibliographic record
Abstract
Ukraine faced numerous challenges accompanied by an increased level of psychotraumatic events in society. Historical events, including war, the annexation of Crimea, and other socio-political transformations, have contributed to an increase in the number of individuals who may exhibit symptoms of post-traumatic stress disorder (PTSD) and adjustment disorders. The growing need for qualified psychotherapy services and PTSD treatment programs in the country is urgent. However, the existing services are not yet sufficiently developed to satisfy this need at an adequate level. Increasing awareness and education in mental health issues in society actualizes the need for further scientific research and development of effective and economically justified methods of treatment. ACT (Acceptance and Commitment Therapy) is a progressive approach that helps people with PTSD change their attitudes about their memories and feelings through acceptance rather than avoidance. This method is actively studied and used in countries with developed medical science, for example, in the USA, Canada and Great Britain. In the context of Ukraine, where the topic may be less researched, the need to develop an adapted ACT model, conduct clinical trials, educate professionals, and develop supportive resources for patients and their families is urgent. Such measures will contribute to more effective treatment of PTSD and adjustment disorders in Ukrainian society.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".