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Record W6980936246

Defining Disability: Reviewing the Construct of Special Education

2023· article· en· W6980936246 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsTerminologyAbleismConstruct (python library)Context (archaeology)PerceptionTerm (time)DignitySpecial educationEducational research
DOInot available

Abstract

fetched live from OpenAlex

It is common within Ontario’s educational context to hear the term ‘special needs’ or ‘special education’. However, the relationship between language, definitions, and discourse in the treatment of students with disabilities in Ontario's elementary and secondary schools is understudied. Drawing on an extensive body of literature from the sociology of education, disability studies, and special needs education, this paper aims to recognize the profound influence of language and labels on societal perceptions and the treatment of students with disabilities. While investigating the historical definitions of disability, literature in this area highlights the continuous debate and inconsistencies surrounding terminology in academic and educational contexts. By focusing on the often-used term "special needs", this research examines the potential negative impact of this label on reinforcing ableism and prejudices for students with disabilities. Moreover, language, definitions, and discourse have the power to shape perceptions and, if not used thoughtfully, may inadvertently perpetuate negative stereotypes and hinder students' academic and social development. Therefore, educational terminology should be altered to reflect equitable decision-making and dignity throughout supports for students.

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 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.000

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 head0.328
GPT teacher head0.578
Teacher spread0.250 · 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 teacher head, not a consensus.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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