MétaCan
Menu
Back to cohort
Record W2610904755 · doi:10.7202/1039254ar

Le regard des mères sur les attitudes, les compétences et les connaissances sur le TSA du personnel scolaire qui influencent l’intégration en classe ordinaire de leur enfant présentant un TSA

2017· article· fr· W2610904755 on OpenAlexaffvenueabout
Magalie Boucher-Gagnon, Catherine des Rivières

Bibliographic record

VenueRevue de psychoéducation · 2017
Typearticle
Languagefr
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

À ce jour au Québec, aucune étude n’a porté sur l’expérience des parents concernant l’intégration scolaire en classe ordinaire de leur enfant ayant un TSA. Il s’agit d’une limite importante des connaissances, surtout dans le contexte où le gouvernement souhaite être ouvert à l’expertise des parents. L’objectif de cette étude est donc d’analyser plus en profondeur, à partir des propos de 18 mères, ce qui, selon elles, a influencé le déroulement de l’intégration scolaire de leur enfant présentant un TSA. Les résultats obtenus montrent que les attitudes, les compétences et les connaissances à propos du TSA de la part du personnel scolaire sont déterminantes, selon les mères, dans l’intégration de leur enfant. Les conclusions suggèrent également que, toujours selon les mères, le personnel scolaire a de la difficulté à s’adapter à leur nouvelle réalité d’intégrer des élèves avec des besoins particuliers.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.470

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.082
GPT teacher head0.378
Teacher spread0.296 · 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 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

Citations5
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueRevue de psychoéducationSame topicFamily and Disability Support ResearchFrench-language works237,207