MétaCan
Menu
Back to cohort
Record W2169884127 · doi:10.1177/0261018311410529

Making ‘care’ accessible: Personal assistance for disabled people and the politics of language

2011· article· en· W2169884127 on OpenAlex

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

VenueCritical Social Policy · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsCarleton University
Fundersnot available
KeywordsOppressionPoliticsTransformative learningSociologyDisabled peopleDisability studiesPublic relationsHealth carePolitical scienceLawGender studiesPedagogy

Abstract

fetched live from OpenAlex

Disability scholars and activists argue that ‘care’ is a complex form of oppression and reject it as a term and concept. I explore the possibility of salvaging care from its oppressive medical and charitable legacies through a discussion of personal assistance. While not arguing for a return to terming personal assistance ‘care’, I argue care can be made accessible in policies and discussions of attendant services and in more general discussions related to care. Like the built environment, care requires ‘retrofitting’ as in updating existing structures to fully include disability perspectives. This requires redefining care as a complex tension. Accessibility also evokes the sense of ‘at hand’; keeping care at hand in policy discussions allows us to consider transformative feminist conceptualizations of care and captures intricate relationships between attendants and disabled people, including people with intellectual disabilities. Most importantly, accessible versions of care always acknowledge the oppressive legacies and coercive potentials of care.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.616
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.151
GPT teacher head0.477
Teacher spread0.326 · 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