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Record W4281958586 · doi:10.4000/ries.12438

Le rôle de l’école dans l’identification des élèves sous la catégorie TDAH au Québec et en Flandre

2022· article· fr· W4281958586 on OpenAlexaffabout
Marie‐Christine Brault, Emma Degroote, Mieke Van Houtte

Bibliographic record

VenueRevue internationale d éducation de Sèvres · 2022
Typearticle
Languagefr
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsÉcole Nationale d'Administration PubliqueUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Le trouble du déficit de l’attention avec ou sans hyperactivité (TDAH) est fort prévalent durant l’enfance et l’école agit comme un catalyseur du recours au diagnostic et à la médication associée. Cet article fait la synthèse d’une étude comparative entre le Québec et la Flandre sur la question du rôle de l’école dans l’identification des élèves sous la catégorie TDAH. Les résultats reviennent sur les disparités spatiales dans la distribution du trouble et de son traitement pharmacologique, abordent trois cibles distinctes de la médicalisation associée au TDAH et concluent en abordant le rôle du triptyque école-santé-famille.

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)0.002
metaresearch head score (Gemma)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.032
GPT teacher head0.325
Teacher spread0.293 · 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

Citations3
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueRevue internationale d éducation de SèvresSame topicAttention Deficit Hyperactivity DisorderFrench-language works237,207