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Record W3044769262 · doi:10.1002/jcop.22354

Using photovoice to increase social inclusion of people with disabilities: Reflections on the benefits and challenges

2020· article· en· W3044769262 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Community Psychology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversité LavalCentre for Interdisciplinary Research in RehabilitationSimon Fraser UniversitySpinal Cord Injury BCGF Strong Rehabilitation CentreInternational Collaboration On Repair DiscoveriesUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPhotovoiceInclusion (mineral)Focus groupCitizen journalismParticipatory action researchPsychologyCommunity-based participatory researchPhoto elicitationMedical educationSociologySocial psychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

The aim of this study was to understand the mobility experiences of mobility device users regarding the environmental and social barriers and facilitators in their community and to discuss the benefits and challenges of using photovoice, as a participatory methodology, to increase social participation for people with disabilities. Photovoice was used with mobility device users (n = 70) in two different locations in Canada. The participants took pictures for two weeks and then participated in individual interviews and focus group sessions to discuss their photographs. The participants took over 1,000 pictures that were grouped into five themes around social participation and accessibility. They chose the most illustrative pictures to share in an exhibit to create a dialogue with different stakeholders. Using photovoice offered many benefits such as allowing the participants to be equal partners of the research and made their voices heard, but also presented disability and study-related challenges.

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.864
GPT teacher head0.669
Teacher spread0.195 · 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