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Record W2946749889 · doi:10.3138/cjpe.43101

Évaluation du processus d’implantation de l’approche axée sur les forces, en s’appuyant sur la théorie de la diffusion de l’innovation

2019· article· en· W2946749889 on OpenAlexaffvenue
Line Leblanc, Christine Gervais, Diane Dubeau, Alexis Delame

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsWelfare economicsScope (computer science)Valuation (finance)Promotion (chess)Mental healthBusinessPsychologyPolitical scienceEconomicsComputer scienceAccountingPsychotherapist

Abstract

fetched live from OpenAlex

Abstract: Most policies in the area of mental health recommend the promotion of evidence-based practices. The strengths-based approach is recognized as a practice that can contribute to the recovery of people with severe mental disorders. However, several studies have raised numerous implementation challenges that limit its scope. An evaluation of the implementation process was conducted with stakeholders who received training on the strengths-based approach. The results indicate that training is not sufficient and that institutional commitment is required to ensure the quality of the implementation process.

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)0.031
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0310.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.354
GPT teacher head0.560
Teacher spread0.206 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2019
Admission routes2
Has abstractyes

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