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Record W2559869212 · doi:10.3138/cjpe.304

Étude d’évaluabilité d’une intervention visant à prévenir l’usage de substances psychoactives lors de la transition primaire-secondaire

2016· article· en· W2559869212 on OpenAlexaffvenueabout
Biessé Diakaridja Soura, Robert Bastien, Jean‐Sébastien Fallu

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2016
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsLogbookPsychologyIntervention (counseling)Medical educationProgram evaluationLogic modelData collectionPedagogyMedicinePolitical scienceSociologyPsychiatry

Abstract

fetched live from OpenAlex

Abstract: This article reports on the evaluability assessment (EA) of a program to prevent substance use among students transitioning from primary to secondary school. Termed Network Intervention (NI), the program is implemented among fifth- and sixth-grade students from five primary schools within a single school board in Quebec. Drawing from qualitative data gathered via interviews, meeting notes and the patient navigator’s logbook, the study allowed a better understanding of the program and its logic model, a tool necessary for the coming evaluation activities. The EA has proven to be useful not only for the evaluation team but also for the initiators of the program and those involved in the implementation. Recommendations are made to better conduct the process of an EA.

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)0.028
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.959
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.130
GPT teacher head0.479
Teacher spread0.349 · 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
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

Citations3
Published2016
Admission routes3
Has abstractyes

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