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Record W2138188103 · doi:10.1177/1049732311405799

Include Them and They Will Tell You: Learnings From a Participatory Process With Youth

2011· article· en· W2138188103 on OpenAlexaffabout
Jo-Ann MacDonald, Anita J. Gagnon, Claudia Mitchell, Giuseppina Di Meglio, Janet E. Rennick, Joseph Cox

Bibliographic record

VenueQualitative Health Research · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsMcGill University Health CentreMcGill UniversityUniversity of Prince Edward Island
Fundersnot available
KeywordsDramatizationParticipatory action researchCitizen journalismFocus groupVisibilityPsychologyExploratory researchMedical educationPedagogyApplied psychologySociologyPolitical scienceMedicineSocial scienceGeography

Abstract

fetched live from OpenAlex

Encouraging youth voice, visibility, and active participation in adolescent-related research is strongly advocated in the literature. In this article, we describe how participatory approaches informed by arts-based methods (e.g., reflective writing, dramatization) were used with adolescents to enhance the research process in an exploratory study designed to develop and evaluate prevention resources for sexual risk-taking behaviors.Youth aged 15 to 17 years participated in iterative focus groups conducted over a 1-year period in school settings in Prince Edward Island, Canada. Descriptions of our experiences, strategies, and insights provide evidence for guiding practice to optimize adolescent participation in research.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.093
metaresearch head score (Gemma)0.073
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.493

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0930.073
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0150.024
Scholarly communication0.0110.009
Open science0.0040.019
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.964
GPT teacher head0.766
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations57
Published2011
Admission routes2
Has abstractyes

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