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Enregistrement W2052970467 · doi:10.1037/0708-5591.49.2.162

Definitions of learning disabilities in Canadian provinces and territories.

2008· article· en· W2052970467 sur OpenAlexafffundabout
Michelle Kozey, Linda S. Siegel

Notice bibliographique

RevueCanadian Psychology/Psychologie canadienne · 2008
Typearticle
Langueen
DomainePsychology
ThématiqueReading and Literacy Development
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesSocial Sciences and Humanities Research Council of Canada
Mots-clésLearning disabilityConceptualizationPsychologyPsychiatryArtificial intelligenceComputer science

Résumé

récupéré en direct d'OpenAlex

Canadian definitions of learning disabilities (LD) traditionally have varied interprovincially, and the authors have compiled current provincial and territorial policy information related to LD. Special education definitions of LD are summarized, and an overview of funding mechanisms for special education services for students with LD is provided. In the majority of provincial and territorial policies, the concept of LD as a discrepancy between intelligence test scores and achievement has been retained from previous policies as a defining feature. Seven provinces have adopted either the official version or part of the Learning Disabilities Association of Canada (2002) LD definition, which characterises LD as a cognitive processing disorder or condition with processing deficits. The use of IQ scores and the vague conceptualization of processing disorder are major difficulties with the current definitions. These findings of policy definitions of LD with more detailed identification criteria contrast with current noncategorical provincial funding mechanisms for learning disabled students. Keywords: learning disabilities, policy, processing deficit, IQ-achievement discrepancy The variability in Canadian educational policy definitions of learning disabilities (LD) is not unique to Canada, nor is it a recent phenomenon. The definition of specific LD and related classification criteria have been debated since their inception in the mid1960s (Reschly, Hosp, & Schmied, 2003).1 Diagnostic definitions and guidelines available to U.S. and Canadian professionals include the Diagnostic and Statistical Manual (4th ed., text revision; DSM-IV-TR; American Psychiatric Association, 2000) and the World Health Organisation International Classification of Disease (ICD-IO).2 The core of DSM-IV-TR diagnostic criteria for LD is a discrepancy between intelligence and achievement, with achievement that is substantially below [and] defined as a discrepancy of more than two standard deviations (p. 49). This definition contrasts with the longstanding, overwhelming empirical objection to LD as being defined by a discrepancy between cognitive intelligence and academic achievement (National Center for Learning Disabilities, 2002).3 In the United States, policy definitions and the process of LD identification historically have been highly politicized and heavily regulated. U.S. federal disability legislation delineates legal rights for individuals with learning disabilities (i.e., Federal Education of the Handicapped Act [EHA; 1975], Individuals With Disabilities Education Act [IDEA 1990-1991], IDEA 1997 [PL 107-15], and IDEA 2004-2005 [PL 108-446], and U.S. federal special education funding is conditional on state compliance with related federal regulations. The contradictions in U.S. federal policy are highlighted in a review by Reschly et al. (2003), which indicated that the majority of U.S. states define LD using different intellectual ability and achievement discrepancy formulas; consequently, reported rates for LD vary significantly from state to state. Although IDEA was recently amended to reflect more current understandings of LD (and the requirement of an intellectual-achievement discrepancy was removed from its criteria), interpretation of how LD state policies may operationalize LD is still under significant and heated debate.4 As noted by Kavale and Forness (2003), U.S. advocacy agencies have been extremely successful in their promotion of expanded definitions of LD such that students designated as learning disabled account for approximately 52% of all special education students, in excess of 2.5 million students. The Canadian experience with the development and definition of LD has been and continues to be distinct from the U.S. experience. A historical account of LD definitions in Canadian research is available in Flynn (1992) and Klassen (2002), but a review of the general literature indicates a limited number of published articles on Canadian administrative or policy definitions of LD. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,161
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,058
Tête enseignante GPT0,303
Écart entre enseignants0,245 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations38
Publié2008
Routes d'admission3
Résumé présentoui

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