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Record W2136594003 · doi:10.7202/1024718ar

L’évaluation de la qualité de dispositifs scolaires

2014· article· fr· W2136594003 on OpenAlexaffvenue
Philippe Tremblay

Bibliographic record

VenueMesure et évaluation en éducation · 2014
Typearticle
Languagefr
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesAmenPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Dans le cadre d’une recherche portant sur l’évaluation comparée de la qualité de deux dispositifs scolaires destinés à des élèves ayant des troubles d’apprentissage, l’auteur a été amené à développer, sur la base de concertations avec différents groupes d’intervenants, de concepts et de théories émanant des sciences de l’éducation, un modèle multidimensionnel et bidirectionnel de la qualité des dispositifs scolaires. Délaissant le « débat ontologique » (Behrens, 2007) autour du concept de qualité, ce travail de conceptualisation et de formalisation d’un cadre d’évaluation de la qualité de dispositifs s’est inspiré de travaux similaires (Bou - chard & Plante, 2002 ; De Ketele & Gerard, 2007) portant sur des objets proches (programme, organisme, etc.). Sur la base des liens de conformité entre un référent et un référé, issus des caractéristiques d’un dispositif, l’auteur a construit un modèle composé de dix dimensions bidirectionnelles (pertinence, adéquation, congruité, synergie, efficacité, efficience, fiabilité, impact, bien-fondé et flexibilité).

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)0.018
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.041
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.004
Science and technology studies0.0020.002
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.152
GPT teacher head0.521
Teacher spread0.369 · 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.

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

Citations6
Published2014
Admission routes2
Has abstractyes

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