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Record W3199609424 · doi:10.7202/1082917ar

Applying the Capabilities Approach to Disability and Education

2021· article· en· W3199609424 on OpenAlexvenueno aff
Christopher A. Riddle

Bibliographic record

VenuePhilosophical Inquiry in Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsDisadvantageEconomic JusticeIntellectual disabilityPrioritizationPublic relationsSociologyPolitical scienceLaw and economicsPsychologyLawEconomicsManagement science

Abstract

fetched live from OpenAlex

This paper aims to establish three things. First, that the capabilities approach is the best candidate for an adequate theory of justice to provide just educational opportunities for people with intellectual disabilities. Second, that the capabilities approach, while possessing many merits over rival conceptions of justice, must acknowledge that a prioritization of some capabilities over others is essential. Third and finally, that intellectual disability presents a particularly urgent case for educational justice, because those with intellectual disabilities are historically under-serviced within educational institutions and stand to lose much more than others because of the potential for the compounding of corrosive disadvantage. A stronger claim to justice for people with intellectual disabilities represents a potential for change in the policy and funding associated with education more generally, and for people with intellectual disabilities more specifically.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0050.042
Scholarly communication0.0070.009
Open science0.0010.008
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.118
GPT teacher head0.399
Teacher spread0.282 · 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 designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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