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Record W7052730972

Sites of resistance: disability and inclusion in Canadian K-12 education

2024· dissertation· en· W7052730972 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2024
Typedissertation
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAbleismInclusion (mineral)Transformative learningDisability studiesDisability discriminationField (mathematics)Medical model of disabilityDisabled people
DOInot available

Abstract

fetched live from OpenAlex

If there was a country called disabled, I would be from there. (Frazee, 2023, p. xv) Ableism in Canadian K–12 education remains pervasive. As a site of resistance, this research explores the ways in which ableism is manifest in schools while offering recommendations for transformative praxis. This research is comprised of an autoethnography, policy analysis, and case study as a manuscript-style dissertation. Overall, these three research studies contribute to the continued rupture of ableism and disability marginalization in Canadian K–12 schools. Most importantly, this dissertation contributes to a growing understanding that there is nothing wrong with being disabled or being part of the disability community (Kafai, 2021). Concurrent themes that flow through this dissertation include: the importance of voice, equitable representation, empowerment, knowledge, identity, and calls for transformation. This research seeks to contribute to the field of inclusive education and critical disability studies in Canada.

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)0.005
metaresearch head score (Gemma)0.008
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 score0.092
Threshold uncertainty score0.670

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0630.035
Scholarly communication0.0150.005
Open science0.0030.014
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0090.001

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 head0.007
GPT teacher head0.192
Teacher spread0.185 · 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 routes2
Has abstractyes

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