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Record W3015359750 · doi:10.1080/02673843.2020.1716817

A novel way to engage youth in research: evaluation of a participatory health research project by the international children’s advisory network youth council

2020· article· en· W3015359750 on OpenAlexaff
Vivian W. L. Tsang, Sarah Fletcher, Charles A. Thompson, Sharon R. Smith

Bibliographic record

VenueInternational Journal of Adolescence and Youth · 2020
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of British ColumbiaBC Children's Hospital
Fundersnot available
KeywordsParticipatory action researchConvictionCitizen journalismParticipatory evaluationMedical educationQualitative researchPsychologyCommunity-based participatory researchHealth careYouth participationPublic relationsPolitical scienceSociologyMedicineSocial science

Abstract

fetched live from OpenAlex

Background: Little is known about the impact of a participatory approach in adolescent health research and the specific benefits youth derive from such experiences. This study evaluates the benefits and limitations of involving young patients as co-researchers in the creation and execution of an international participatory health research project. Methods: Standardized feedback surveys and qualitative interviews were employed to evaluate the impact of co-researchers’ personal and academic growth. Participation was determined by the percentage of youth members actively engaged (75% or more), and outcome of a completed project. Results: 16 adolescents aged 13–23 years representing 9 global academic institutions participated. Eighty-one per cent of participants reported interest in health research and 100% felt that their participation made an impact on paediatric healthcare. Discussion: The shift in roles from patient to research partner is echoed in the strong conviction of the newfound possibilities of accomplishment as a group.

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)0.034
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0340.002
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 science0.0010.000
Research integrity0.0000.002
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 head0.869
GPT teacher head0.567
Teacher spread0.302 · 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.

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

Citations28
Published2020
Admission routes1
Has abstractyes

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