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Record W4214565598 · doi:10.1352/2326-6988-10.1.1

Observing Inclusion in STEM Classes: Academic and Social Participation of Students With and Without Intellectual and Developmental Disabilities

2022· article· en· W4214565598 on OpenAlexaff
Emily M. Kuntz, Erik W. Carter, Kaitlyn Cassady, Victoria Knight

Bibliographic record

VenueInclusion · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInclusion (mineral)Context (archaeology)PsychologyClass (philosophy)Mathematics educationPedagogyIntellectual disabilityDevelopmental psychologyMedical educationMedicineSocial psychologyGeography

Abstract

fetched live from OpenAlex

Calls to support inclusive educational experiences for students with intellectual and developmental disabilities (IDD) have been longstanding. General education STEM classes may provide a rich context for promoting the inclusion of these students within a relevant curricular area. To assess inclusive class participation, we directly observed 15 secondary students with IDD—along with a comparison group of their classmates without disabilities—in STEM-related classes. We focused on academic, social, and contextual measures. Although some similarities were found in the academic and social participation of students and their classmates, key differences were observed in the areas of what they learned, who they conversed with, and how they learned. We present recommendations for future research and practice aimed at strengthening inclusive educational experiences.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0030.002
Open science0.0010.007
Research integrity0.0010.002
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 head0.074
GPT teacher head0.384
Teacher spread0.310 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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