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Record W3214925187 · doi:10.15273/hpj.v1i2.11029

Community-Embedded Positive Mental Health Promotion Programs for the General Population: A Scoping Review Protocol

2021· review· en· W3214925187 on OpenAlexaffabout
Lindsay K. Heyland, Jodi Langley, Sophie Keddy, Alanna C Kaser, Taylor G. Hill

Bibliographic record

VenueHealthy Populations Journal · 2021
Typereview
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsDalhousie UniversityMount Saint Vincent University
Fundersnot available
KeywordsGrey literatureMental healthScope (computer science)PsycINFOInclusion (mineral)Promotion (chess)Health promotionPopulationProtocol (science)Public relationsMedicineMedical educationPsychologyNursingMEDLINEPolitical scienceComputer sciencePublic healthEnvironmental healthAlternative medicinePsychiatry

Abstract

fetched live from OpenAlex

Introduction: Positive mental health promotion (PMHP) is an emerging field within community mental health. Programming and policy efforts devoted to promoting mental health are developing. These efforts are varied in scope and nature, and there is little consensus on evidence-based best practices. Objective: To chart the body of literature on PMHP programming and to document the current PMHP in one Canadian province to provide insight into the types, scope, and nature of the programs currently and historically available to community residents in this province. Inclusion criteria: Peer-reviewed literature relevant to community mental health promotion, and grey literature that contains details of community-based programs accessible to the general population in that community. Methods: A preliminary search strategy in PubMed, EBSCO, and PsycInfo was developed with a librarian and a JBI-trained researcher. Primary studies published in English after 2000 evaluating or documenting PMHPs will be included. Grey literature from an environmental scan of existing local programs will be included. Data to be extracted includes study methodology and methods, program scope, content, materials, evaluation and outcomes.

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)0.014
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.772
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0190.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.008
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 head0.415
GPT teacher head0.638
Teacher spread0.222 · 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 designOther design
Domainnot available
GenreReview

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

Citations0
Published2021
Admission routes2
Has abstractyes

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