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Theoretical Strategies to Define Disability

2019· reference-entry· en· W2959654515 on OpenAlex
Jonas-Sébastien Beaudry

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOxford University Press eBooks · 2019
Typereference-entry
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsMcGill University
Fundersnot available
KeywordsVariety (cybernetics)AppealPolysemyMedical model of disabilityDisability studiesPsychologySocial model of disabilitySocial psychologySociologyPolitical scienceLawLinguisticsComputer scienceGender studies

Abstract

fetched live from OpenAlex

Abstract The concept of disability is used across a variety of contexts to describe different phenomena and prescribe distinct behaviors or norms. The definitional challenge is not only that the category of “disabled people” is heterogenous, but also that what “disability” should denote, primarily or exclusively, is controversial among both theorists and practitioners. This conceptual breadth is far from innocuous: disability models have the potential to influence public policies, culture, and interactions by suggesting what rights, duties, and social expectations disability entails. Instead of examining those various definitions and arguing in favor of one, this chapter considers the unavoidable cultural polysemy of disability and contrasts the appeal and limitations of the main theoretical strategies to manage it. Some disability models deny that competing understandings of disability are valid, others seek to determine procedures through which disabilities will be defined and assessed, and still others conceptualize disability in a more culturally malleable way.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.969
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.293
Teacher spread0.260 · 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