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Record W4392598397 · doi:10.1186/s13690-024-01257-w

Validation and evaluation of school-based mental health literacy training program "The Guide Cymru" in Iranian adolescent students aged 13–15: study protocol

2024· article· en· W4392598397 on OpenAlexaboutno aff
Batool Zeidabadi, Mahsa Khodayarian, Reza Sadeghi, Sara Jambarsang, Mina Mohseni

Bibliographic record

VenueArchives of Public Health · 2024
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsnot available
FundersShahid Sadoughi University of Medical Sciences
KeywordsMental healthMental health literacyCurriculumMedical educationStratified samplingLiteracyMedicineHealth literacyPsychologyPedagogyPsychiatryMental illnessHealth carePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Schools are an ideal setting for enhancing mental health literacy, a crucial strategy for improving adolescents' mental health knowledge and attitudes and promoting help-seeking. "The Guide Cymru" program is an adaptation of the mental health literacy program" The Guide" that was developed in Canada. The program will be culturally adapted for 13- to 15-year-old Iranian adolescent students in the first secondary schools. METHODS: In this randomized controlled trial, using the stratified random sampling procedure, the whole eighth and ninth grade student body (aged 13 to 15) from Sirjan City's first secondary schools will be included in the study. Twenty first secondary schools will be randomly assigned to one of two groups: control or intervention. Finally, 562 students and 40 teachers will participate in the research. The tools of mental health literacy scale (MHLs), mental health general knowledge and attitudes related to mental disorders/illnesses are employed in this study. DISCUSSION: This trial aims to be to explore whether "The Guide Cymru", a mental health literacy program offered to students as part of the school curriculum, can decrease the stigma associated with mental health and promote help-seeking behaviors among students.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.193
GPT teacher head0.548
Teacher spread0.355 · 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.

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

Citations5
Published2024
Admission routes1
Has abstractyes

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