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Record W4410543065 · doi:10.1177/17470161251335709

Picturing informed consent: Exploring participatory visual methods to enhance meaningful consent conversations with young people

2025· article· en· W4410543065 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.

Bibliographic record

VenueResearch Ethics · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversité de MontréalToronto Metropolitan UniversityMcGill University
FundersFonds de Recherche du Québec-Société et Culture
KeywordsInformed consentCitizen journalismVisual researchPsychologyVisual methodsParticipatory action researchSociologyMedicineComputer scienceVisual artsAlternative medicineWorld Wide WebCognitive scienceArtAnthropology

Abstract

fetched live from OpenAlex

Informed consent (IC) is a cornerstone of ethical research, ensuring participants are informed and provide voluntary agreement to participate. Yet IC remains complex, especially in research with young people, and practical examples for engaging youth meaningfully in IC processes are limited. Participatory visual methodologies engage youth as knowledge producers to think creatively, express diverse perspectives, and engage in dialog. This study explores how participatory visual methodologies can involve youth in IC by inviting them to create and discuss visual representations of its key concepts. Grounded in literature on research ethics with young people, we ask: How do young people in Cameroon represent some of the core concepts within IC visually, and what kinds of conversations emerge around these representations? To address these questions, we conducted workshops with 56 young people (10–16 years old) in Cameroon’s Southwest and Northwest Regions. Participants took photos to represent and discuss the benefits and risks of research, voluntary participation, and confidentiality as key elements of IC, and created visual representations of IC forms. Findings show that incorporating visual elements in IC prompted participants to critically engage with IC, facilitating a deeper contextualized and nuanced understanding and meaningful dialog about both the notion of consent and the study they are potentially consenting to. This study presents a case on adolescents and IC in an African context, emphasizing the importance of social and cultural factors in IC and contributing to literature that largely focuses on younger children in Western settings. Integrating participatory visual methods reframed IC as a collaborative, group-centered process rather than a researcher-driven, one-time event. These findings highlight the potential of participatory visual approaches to deepen youth engagement in research ethics, contributing to more equitable and locally relevant research practices.

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)0.048
metaresearch head score (Gemma)0.157
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0480.157
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.003
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 head0.858
GPT teacher head0.745
Teacher spread0.113 · 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