MétaCan
Menu
Back to cohort
Record W1594582865 · doi:10.5206/eei.v22i2.7699

Training, Inclusion, and Behaviour: Effect on Student–Teacher and Student–SEA Relationships for Students with Autism Spectrum Disorders

2012· article· en· W1594582865 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueExceptionality Education International · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInclusion (mineral)PsychologyCurriculumAutismAffect (linguistics)Mathematics educationStudent teacherQuality (philosophy)Teacher educationMedical educationDevelopmental psychologyPedagogyMedicineSocial psychology

Abstract

fetched live from OpenAlex

Little is known about factors that affect teacher and special educational assistants’ (SEA) relationships with students with Autism Spectrum Disorders (ASD). In this study, participants were 15 students with ASD receiving inclusive education in Kindergarten through Grade 3, their classroom teachers, and SEAs. Teachers and SEAs completed rating scales assessing problem behaviour and the quality of student–teacher and student–SEA relationships. Results showed that the level of problem behaviour and percent of time receiving the general education curriculum (i.e., not a modified curriculum) significantly predicted the student–teacher relationship, but not the student–SEA relationship. Training in ASD did not significantly predict the student–teacher or student–SEA relationship.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.422
Teacher spread0.386 · 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