MétaCan
Menu
Back to cohort
Record W3127477413 · doi:10.1177/1098214020927785

Photo-Based Evaluation: A Method for Participatory Evaluation With Adolescents

2021· article· en· W3127477413 on OpenAlex
Deinera Exner‐Cortens, Kathleen C. Sitter, Marisa Van Bavel, Alysia Wright

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

VenueAmerican Journal of Evaluation · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsParticipatory evaluationTransformative learningVisual methodsProgram evaluationCitizen journalismParticipatory action researchHealth promotionPromotion (chess)Process (computing)PsychologyYouth engagementApplied psychologyVisual researchPositive Youth DevelopmentMedical educationEvaluation methodsComputer sciencePedagogyPublic relationsSociologyPublic healthMedicineNursingPolitical scienceDevelopmental psychologyPoliticsSocial scienceEngineering

Abstract

fetched live from OpenAlex

Actively engaging adolescents in meaningful program evaluation is a topic of growing interest. One possibility for such engagement is the use of photographs as part of visual evaluation, so that youth can directly engage with the research process. In this Method Note, we describe the development and implementation of a participatory, photo-based evaluation method for youth health promotion/prevention programs. Youth in this study were participants in a gender-transformative healthy relationships program for boys. We present literature supporting the use of photographs as a visual research method and for involving youth as active participants in evaluation, and explore the feasibility, utility, and acceptability of this innovative application of existing methods based on researcher experience and youth feedback. We conclude with implications for photo-based evaluation of health promotion/prevention programs, highlighting the promise of this method for promoting critical youth engagement in evaluation and the creation of meaningful knowledge translation tools.

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)0.085
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.943
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0850.023
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)0.0010.000

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 head0.616
GPT teacher head0.699
Teacher spread0.083 · 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