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Record W7070213436

Philosophy of Disability, Conceptual Engineeering, and the Nursing Home-Industrial-Complex in Canada

2021· article· en· W7070213436 on OpenAlexaboutno aff

Bibliographic record

VenuePhilPapers (PhilPapers Foundation) · 2021
Typearticle
Languageen
FieldEngineering
TopicMineral Processing and Grinding
Canadian institutionsnot available
Fundersnot available
KeywordsTyingEugenicsTragedy (event)PandemicCovertBiopowerEconomic JusticeField (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

In this article, I indicate how the naturalized and individualized conception of\n disability that prevails in philosophy informs the indifference of philosophers to\n the predictable COVID-19 tragedy that has unfolded in nursing homes, supported\n living centers, psychiatric institutions, and other institutions in which elders and\n younger disabled people are placed. I maintain that, insofar as feminist and other\n discourses represent these institutions as sites of care and love, they enact structural gaslighting. I argue, therefore, that philosophers must engage in conceptual\n engineering with respect to how disability and these institutions are understood\n and represented. To substantiate my argument, I trace the sequence of catastrophic\n events that have occurred in nursing homes in Canada and in the Canadian province\n of Ontario in particular during the pandemic, tying these events to other past and current eugenic practices produced in the Canadian context. The crux of the article\n is that the COVID-19 pandemic has thrown into vivid relief the carceral character of\n nursing homes and other congregate settings in which elders and younger disabled\n people are confined.\n \n KEYWORDS\n carceral, conceptual engineering, nursing home-industrial-complex, philosophy of\n disability, structural gaslighting

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score0.978

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 head0.028
GPT teacher head0.223
Teacher spread0.194 · 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 designSimulation or modeling
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
Published2021
Admission routes1
Has abstractyes

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