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Record W50115358 · doi:10.5206/eei.v19i1.7635

The Characteristics and Experiences of Canadian Students Receiving Special Education Services for Emotional/Behavioural Difficulties

2009· article· en· W50115358 on OpenAlexaffvenueabout
Jessica Whitley, Judy Lupart, Tanya Beran

Bibliographic record

VenueExceptionality Education International · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversity of CalgaryUniversity of AlbertaUniversity of Ottawa
Fundersnot available
KeywordsPsychologySpecial educationDevelopmental psychologyInclusion (mineral)Sample (material)Learning disabilityMedical educationMathematics educationSocial psychologyMedicine

Abstract

fetched live from OpenAlex

This paper provides a description of the demographic characteristics as well as the social and academic experiences of a nationally representative sample of Canadian students receiving special education services for an Emo-tional/Behavioural Difficulty (EBD) and a comparison group of students without disabilities (ND). Data summarized in this article were drawn from the National Longitudinal Survey of Children and Youth. Results reveal numerous areas of dif-ference between groups from student, parent, and teacher perspectives. In particular, the EBD group contained a significantly greater proportion of boys and students from low income families. Students in the EBD group reported hav-ing difficulty making friends and not liking school as much as their ND peers. Academic expectations reported by teachers and parents for children with EBD were significantly lower than for children without disabilities. Discussions of these findings as well as implications for practice and for future research are pre-sented.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.080
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.377
Teacher spread0.333 · 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

Citations17
Published2009
Admission routes3
Has abstractyes

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