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Record W4301396017 · doi:10.4081/qrmh.2022.10438

A pilot study of participatory video in early psychosis: Qualitative findings

2022· article· en· W4301396017 on OpenAlexaff
Arlene G. MacDougall, Elizabeth Price, Sarah Glen, Sahana Kukan, Laura Powe, Richelle Bird, Paul H. Lysaker, Kelly K. Anderson, Ross Norman

Bibliographic record

VenueQualitative Research in Medicine & Healthcare · 2022
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsSt Joseph's Health CareParkwood InstituteMcMaster UniversityLawson Health Research InstituteWestern University
Fundersnot available
KeywordsFocus groupPsychologyNarrativeCitizen journalismIntervention (counseling)Interpersonal communicationPsychosisQualitative researchPsychotherapistClinical psychologyMedical educationSocial psychologyMedicinePsychiatrySociology

Abstract

fetched live from OpenAlex

For people with psychotic disorders, developing a personal narrative about one's experiences with psychosis can help promote recovery. This pilot study examined participants' reactions to and experiences of participatory video as an intervention to help facilitate recovery-oriented narrative development in early psychosis. Outpatients of an early psychosis intervention program were recruited to participate in workshops producing short documentary-style videos of their collective and individual experiences. Six male participants completed the program and took part in a focus group upon completion and in an individual semistructured interview three months later. Themes were identified from the focus group and interviews and then summarized for descriptive purposes. Prominent themes included impacts of the videos on the participants and perceived impacts on others, fulfilment from sharing experiences and expressing oneself, value of collaboration and cohesion in a group, acquiring interpersonal and technological skills, and recommendations for future implementation. Findings of this study suggest that participatory video is an engaging means of self-definition and self-expression among young people in recovery from early psychosis.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.047
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0470.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.636
GPT teacher head0.669
Teacher spread0.033 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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