Collaborative music therapy via remote video technology to reduce a veteran's symptoms of severe, chronic PTSD
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: Using videoconference technology to provide health care is established in many fields. The authors are not aware of any published reports of music therapy (MT) conducted remotely. This case review describes the process and outcomes of remotely delivered MT to address symptoms of post-traumatic stress disorder (PTSD) in a military veteran. Method: MT was co-facilitated by a music therapist and a clinical psychologist. Sessions were delivered as videoconferences (over 1400 km) utilizing the Ontario-Telehealth Network. A retrospective case study with input from the client was conducted. Results: The client reported improvement, in many of his symptoms. At the end of the treatment period, he attributed much of his progress to MT. Using videoconference technology did not seem to hinder the treatment efficacy. The novel nature of providing MT remotely necessitated an effective collaboration between the music therapist and the client's clinical psychologist. Conclusions: Based on the experience described in this case study, the authors concluded that, (a) remotely-delivered MT can be effective in the treatment of complex PTSD, (b) inter-professional collaboration made a positive impact on the treatment process, (c) geographic distance need not be an obstacle to effective treatment and (d) a remote treatment modality was not detrimental to treatment efficacy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 it