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Record W2035220834 · doi:10.1177/0829573506295707

Pratiques et Perceptions des Psychologues Scolaires Face à l’Évaluation des Élèves en Difficulté d’Apprentissage au Québec

2005· article· en· W2035220834 on OpenAlexaffabout
Karina Béland, Georgette Goupil

Bibliographic record

VenueCanadian Journal of School Psychology · 2005
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPsychologyLearning disabilitySchool psychologyPerceptionPedagogyMedical educationDevelopmental psychologyApplied psychologySocial psychology

Abstract

fetched live from OpenAlex

This article explores the assessment practices of Quebec school psychologists in the evaluation of elementary school students referred for suspected learning disabilities as well as their perceptions of these practices. The purpose of this study is to identify the ratio of learning disabled students within the school psychologist’s clientele, the time spent assessing these students, the learning disabilities definition used by psychologists, the most frequently used assessment tools, and the psychologist’s role in the diagnosis of learning disabilities. Seventy-six school psychologists participate in this research. The majority of participants estimates that learning-disabled students represent more than 50% of their clientele. Seventy-two percent of the time they devote to these students is spent doing assessments. Results show that all participants use the Wechsler Scales. However, their assessment practices vary greatly, as they use a variety of other tests. They deplore the lack of consensus over assessment and identification procedures.

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)0.009
metaresearch head score (Gemma)0.039
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 score0.349
Threshold uncertainty score0.701

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.039
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.004
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.074
GPT teacher head0.414
Teacher spread0.339 · 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

Citations4
Published2005
Admission routes2
Has abstractyes

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