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Record W3012001775 · doi:10.1111/hex.13032

Enhancing researcher capacity to engage youth in research: Researchers’ engagement experiences, barriers and capacity development priorities

2020· article· en· W3012001775 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

VenueHealth Expectations · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsRoyal Ottawa Mental Health CentreUniversity of OttawaMcGill UniversityDouglas Mental Health University InstituteDouglas CollegeUniversity of TorontoDalhousie UniversityUniversity of British ColumbiaCentre for Advancing Health OutcomesUniversity of British Columbia, Okanagan CampusCentre for Addiction and Mental Health
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsYouth engagementPositive Youth DevelopmentSnowball samplingPsychologyPromotion (chess)Medical educationValue (mathematics)Youth studiesPublic relationsMedicinePolitical sciencePoliticsDevelopmental psychology

Abstract

fetched live from OpenAlex

BACKGROUND: There is increasing emphasis on engaging youth in research about youth, their needs, experiences and preferences, notably in health services research. By engaging youth as full partners, research becomes more feasible and relevant, and the validity and richness of findings are enhanced. Consequently, researchers need guidance in engaging youth effectively. This study examines the experiences, needs and knowledge gaps of researchers. METHODS: Eighty-four researchers interested in youth engagement training were recruited via snowball sampling. They completed a survey regarding their youth engagement experiences, attitudes, perceived barriers and capacity development needs. Data were analysed descriptively, and comparisons were made based on current engagement experience. RESULTS: Participants across career stages and disciplines expressed an interest in increased capacity development for youth engagement. They had positive attitudes about the importance and value of youth engagement, but found it to be complex. Participants reported requiring practical guidance to develop their youth engagement practices and interest in a network of youth-engaged researchers and on-going training. Those currently engaging youth were more likely to report the need for greater appreciation of youth engagement by funders and institutions. CONCLUSIONS: Engaging youth in research has substantial benefits. However, skills in collaborating with youth to design, conduct and implement research have to be learned. Researchers need concrete training and networking opportunities to develop and maximize these skills. They also need mechanisms that formally acknowledge the value of engagement. Researchers and those promoting youth engagement in research are encouraged to consider these findings in their promotion and training endeavours.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
gptMetaresearch
Domain: Methods · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models splitAgreement compares identical category sets and study designs across arms.

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)0.025
metaresearch head score (Gemma)0.050
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.050
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
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 head0.931
GPT teacher head0.673
Teacher spread0.258 · 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