MétaCan
Menu
Back to cohort
Record W6904633755 · doi:10.14288/1.0448335

Younger disabled adults in long-term care : a Foucauldian genealogy

2025· article· en· W6904633755 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsPresumptionNarrativePopulationDisabled peopleDisability studiesMichel foucaultWork (physics)

Abstract

fetched live from OpenAlex

The presumption is that long-term care institutions are seniors’ homes, but 7% of the population is between the ages of 19 and 64 (Statistics Canada, 2016). These younger disabled adults report great dissatisfaction with their lives, anecdotally and through the available literature. This research uses a Foucauldian genealogical approach to look at why this is so, and how it has happened, and views all of this work through a Critical Disability Lens. Foucault (1974) considered his works to be “a kind of toolbox” (p. 523), and as such, there is no single method for a genealogy. I begin this research by establishing the Present, the lived experience today, by extended interviews with three younger disabled adults currently living in long-term care, and a media analysis that captures the thoughts of a further 19 people. This Present is then problematized. First, I present a brief examination of the long history of institutionalization, from the Elizabethan Poor Laws up to the establishment of British Columbia’s long-term care program in 1978. Then, I investigate the long-term care program through a document analysis, positioning the available governmental documents against the concurrent opinions of civil society. The outcome of this research is a narrative genealogy that pieces together this story. I demonstrate that attitudes towards disabled people have been hard wired into our society, and I show that these younger disabled adults are forgotten and invisible, with policies and practices failing to take their unique needs into consideration.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score0.357

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 studies0.0000.001
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 head0.007
GPT teacher head0.234
Teacher spread0.227 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venuecIRcle (University of British Columbia)Same topicDisability Rights and RepresentationFrench-language works237,207