Clinical Use of an Autovideography Intervention to Support Recovery in Individuals with Severe Mental Illness
Bibliographic record
Abstract
The current authors introduced an innovative autovideography intervention asking mental health consumers to use video cameras for 1 month to tell about their recovery. The research approach was based on a participatory research model with workers and consumers of a recovery education center fully involved with the study design and implementation. Twelve individuals who had graduated from a recovery program participated. The participant-produced videos were qualitatively analyzed using thematic analysis. The use of autovideography was found to be feasible and can be used clinically to support the process of recovery by providing opportunities for reciprocity, self-reflection, and advocacy. Consumer-produced videos provide a voice to inform others with and without mental illness about the concerns of individuals with mental illness and the process of recovery. [Journal of Psychosocial Nursing and Mental Health Services, 54(5), 33-40.].
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".