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Record W7019163346

Excluding Critical Disability Studies from Teacher Education: A Critical Qualitative Content Analysis

2024· dissertation· en· W7019163346 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2024
Typedissertation
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsMcGill University
Fundersnot available
KeywordsQualitative researchContent analysisQualitative analysisInclusion (mineral)Content (measure theory)Data collection
DOInot available

Abstract

fetched live from OpenAlex

Critical Disability Studies (CDS) offers both theoretical insights and practical foundations to reduce ableism in education.This research investigates the extent to, and specific ways in, which CDS content is represented in inclusive education courses within an undergraduate teacher certification program.Employing qualitative content analysis informed by critical qualitative research and a CDS methodology, twenty syllabi of two required inclusive education courses within a university teacher education program were examined.The findings reveal a scarcity of CDS elements in inclusive education courses designed for pre-service teachers.The study concludes that CDS informed content is severely underrepresented in teacher preparation programs, specifically within inclusive education.This omission has several problematic implications for teacher education which are included in the discussion.My research also offers recommendations to improve these courses by enhancing Critical Disability Studies related content, and suggests avenues for future research.

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)0.131
metaresearch head score (Gemma)0.395
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.694

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1310.395
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0090.011
Science and technology studies0.0120.011
Scholarly communication0.0110.008
Open science0.0040.011
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.163
GPT teacher head0.470
Teacher spread0.307 · 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 designQualitative
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

Citations0
Published2024
Admission routes1
Has abstractyes

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