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Record W2581613336 · doi:10.1177/1049732316687731

Photovoice and Persons With Physical Disabilities: A Scoping Review of the Literature

2017· review· en· W2581613336 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.

Bibliographic record

VenueQualitative Health Research · 2017
Typereview
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsQueen's University
Fundersnot available
KeywordsPhotovoiceParticipatory action researchScope (computer science)Citizen journalismQualitative researchCommunity-based participatory researchData collectionPhysical spacePsychologyMedical educationMedicineSociologySocial scienceWorld Wide WebComputer scienceGeography

Abstract

fetched live from OpenAlex

Photovoice is a group analysis method often affiliated with participatory action research (PAR). It has become increasingly popular in qualitative research with people with physical disabilities. This article details the results of a study that sought to understand the scope of the literature related to how photovoice is conducted with people with physical disabilities. We performed a scoping review related to use of photovoice in physical disabilities research. We identified 20 articles that featured diverse participants with physical disabilities and demonstrated a range of approaches to data collection, analysis, and dissemination. Nearly all of the articles identified used photovoice to study physical accessibility/navigation of space. Although a majority of selected articles purported to use PAR approaches, many articles demonstrated research that may not be as participatory as presumed. Based on the findings, we provide suggestions for photovoice studies that will ensure full and meaningful participation of members involved.

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)0.070
metaresearch head score (Gemma)0.073
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.409
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0700.073
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0030.008
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.966
GPT teacher head0.852
Teacher spread0.114 · 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