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Record W7116701022 · doi:10.1111/chso.70011

‘Like a Kid's Book’: Pilot Testing of a Visual Informed Consent Form With Children in Canada, Ghana and Laos

2025· article· en· W7116701022 on OpenAlexafffundabout
Negin Zamani, Tamara Keegan, Abdul‐Rahim Mohammed, Maliphone Douangphachanh, Afua Twum‐Danso Imoh, Souphinh Vongphachanh, Mónica Ruiz‐Casares

Bibliographic record

VenueChildren & Society · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsMcGill University Health CentreMontreal Children's HospitalMcGill UniversityDouglas Mental Health University Institute
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsVoluntarinessInformed consentPremiseUsabilityThematic analysisCitizen journalismSociocultural evolutionParticipatory action research

Abstract

fetched live from OpenAlex

ABSTRACT It is a moral imperative to conduct the consent process in a way that is understandable, engaging and meaningful for children. This underscores the necessity of obtaining consent through age‐ and culturally appropriate methods and content. Using qualitative, participatory visual research methods, this study aimed to gather feedback on a visual informed consent (VIC) storybook among 17 primary school‐aged children in Canada, Ghana and Laos. Participatory workshops with children were audio‐recorded and transcribed verbatim. Thematic analysis yielded four themes: (1) study premise and purpose, (2) confidentiality, (3) voluntariness and (4) compensation. Most children responded positively to the VIC and preferred the visual format over conventional written consent forms, as it was easier to engage with and helped maintain their attention. The VIC appears to be a useful tool for presenting information and obtaining consent. Further studies are needed to assess its usability across diverse sociocultural and urban–rural settings.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.900

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.290
Teacher spread0.267 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

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