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Record W2902223401 · doi:10.3138/cjpe.42203

Les conditions gagnantes et les défis pour une participation active des parties prenantes dans un contexte d’évaluation de programmes d’intervention psychosociale

2018· article· en· W2902223401 on OpenAlexaffvenue
Diane Dubeau, Annie Bérubé, Vicky Lafantaisie, Sylvain Coutu, Geneviève Turcotte

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsCentre Jeunesse de QuebecUniversité du Québec en Outaouais
Fundersnot available
KeywordsAppropriationValuation (finance)SociologyWelfare economicsBusinessPolitical sciencePsychologyEconomicsEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract: In order to optimize the appropriateness, utilization, and appropriation of an evaluation process, which is often expensive in terms of time and money, we have recently encouraged the increasingly active involvement of various stakeholders (Cousins et Chouinard, 2012). Beyond this orientation, there are important issues concerning the selection and the degree of participation of these stakeholders, as well as obstacles and conditions facilitating their participation (Hurteau, Houle et Marchand, 2012). Firstly, this article is based on the evaluation of Relais-Pères, carried out as part of participatory action research over more than ten years in order to specify the conditions and obstacles encountered in a framework of services. Secondly, attention is given to issues linked to the specifics of an evaluative approach in the interest of appropriation by partners in this approach.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.302
metaresearch head score (Gemma)0.401
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score0.861

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3020.401
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0110.027
Scholarly communication0.0240.013
Open science0.0020.012
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0050.000

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 head0.163
GPT teacher head0.462
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
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

Citations1
Published2018
Admission routes2
Has abstractyes

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