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Record W1537131123 · doi:10.1111/hex.12386

Getting it right! Enhancing youth involvement in mental health research

2015· article· en· W1537131123 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.

Bibliographic record

VenueHealth Expectations · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsQueen's University
FundersScottish Mental Health Research NetworkNational Institute for Health and Care Research
KeywordsMental healthThematic analysisQualitative researchPsychologyPerceptionPromotion (chess)Medical educationApplied psychologyPublic relationsMedicineSociologyPsychiatryPolitical sciencePolitics

Abstract

fetched live from OpenAlex

BACKGROUND: Few studies relating to youth mental health have actively involved young people in the design and conduct of research. AIMS: This qualitative study explores the perceptions of young people about involving them in mental health research. METHOD: An opportunistic sample of eight young people (aged 14-24 years) from non-statutory mental health organizations was interviewed. Interviews were transcribed verbatim, and inductive thematic analysis was conducted. RESULTS: Six key themes emerged reflecting a desire for young people to have the opportunity to actively contribute to every stage of the research process. Meaningful research involvement was perceived as offering opportunities to develop personal skills, contribute to making a difference and ensuring research projects were more relevant. CONCLUSIONS: Young people with an active interest in mental health promotion demonstrate a desire to be involved in research with training in research methods likely to facilitate this process. Researchers need training on how best to actively and meaningfully involve young people in mental health 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.

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)0.019
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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 score0.399
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.879
GPT teacher head0.726
Teacher spread0.153 · 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