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Record W4379471700 · doi:10.1177/16094069231172076

A Systematic Methods Review of Photovoice Research with Indigenous Young People

2023· article· en· W4379471700 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

VenueInternational Journal of Qualitative Methods · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
FundersNational Health and Medical Research Council
KeywordsPhotovoiceIndigenousParticipatory action researchAotearoaCommunity-based participatory researchFocus groupQualitative researchMedicineMedical educationSociologyGender studiesSocial scienceAnthropologyEconomic growth

Abstract

fetched live from OpenAlex

Photovoice is an emerging qualitative research method used to engage community members in research that highlights their lived experiences and initiate change. Photovoice offers potential benefits to research conducted by and with Indigenous communities through privileging Indigenous knowledge and perspectives. There is a lack of synthesized evidence about the usage, benefits, and challenges of conducting Photovoice research by and with Indigenous communities, which this systematic methods review aims to address. We specifically focus on Indigenous young people in Canada, Australia, Aotearoa New Zealand, and the United States. Five databases were searched systematically for articles including keywords for ‘Indigenous’ and ‘Photovoice’. Empirical studies and methods papers reporting the use of Photovoice with majority cohorts of young Indigenous participants were included. Relevant data were extracted and Photovoice methods analysed using an integrative approach. Database searches yielded 1402 articles, with 109 reviewed in full and 41 included in the review. These articles represented 37 unique studies, with most from Canada ( n = 17), and the United States ( n = 14). Our analysis revealed great variability in how Photovoice has been applied across studies with Indigenous young people. However, some notable commonalities include recruitment of participants via community networks, and participant involvement in data collection and analysis. The potential benefits associated with using Photovoice with Indigenous young people included: fostering participant autonomy and authority; photography being familiar and fun; the visual medium being culturally appropriate for Indigenous peoples; and the method being effective for engaging the whole community. Challenges associated with Photovoice included: engagement difficulties between researchers and participants; issues with photography; and ethical complexities. These findings suggest that Photovoice is an appropriate and largely effective method to engage young Indigenous people in research. However, there are logistical and ethical issues associated with the method that require careful consideration.

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)0.335
metaresearch head score (Gemma)0.124
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.210
Threshold uncertainty score0.883

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.3350.124
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.955
GPT teacher head0.838
Teacher spread0.117 · 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