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Record W2612276183

Audience Response to Photovoice as a Mental Illness Antistigma Intervention

2016· article· en· W2612276183 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsPhotovoiceMental illnessIntervention (counseling)PsychologyAudience responseMental healthInternet privacySocial psychologyPsychiatryComputer science
DOInot available

Abstract

fetched live from OpenAlex

The present study examined the effectiveness and efficacy of a novel antistigma intervention in reducing mental illness stigma, as well as the role of audience empathy as a mediator of stigma reduction following antistigma intervention. Study 1 examined the effectiveness of an antistigma intervention developed through grassroots collaboration between the Canadian Mental Health Association and individuals that have experienced mental illness. This intervention was unique in that it featured a multimodal format that combined psychoeducation, live contact, and a Photovoice video, which has not been examined as an antistigma intervention in the literature to date. Fifty-two students viewed the intervention and completed measures of mental illness stigma at both pre- and post-intervention. Results showed that participants reported decreased mental illness stigma from pre- to post-intervention. Study 2 built off of these findings to examine the efficacy of the Photovoice video as a standalone online antistigma intervention. Online antistigma videos have not been widely researched in the literature, despite the low-cost and dissemination benefits associated with an online video format. Three hundred and three students were randomly assigned to either the Photovoice video (n = 156) or a control video (n = 147). Results indicated that the Photovoice video was efficacious in reducing mental illness stigma, including reduced fear, anger, perceived dangerousness, and desired social distance between pre- and post-intervention, relative to the control. In addition, 104 participants (Photovoice = 56; control = 48) returned to complete follow-up measures at 1-month post-intervention. Photovoice was efficacious in maintaining reduced desired social distance relative to the control, indicative of a continued willingness to interact with individuals that have a mental illness. Finally, viewer empathy was found to mediate the relationship between the Photovoice intervention and reduced mental illness stigma, suggesting that the Photovoice video reduced mental illness stigma by eliciting empathy in the viewer. Implications for the development of antistigma interventions are discussed, as well as limitations of the study and directions for future research.

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.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.270
GPT teacher head0.515
Teacher spread0.244 · 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