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Record W1603262321 · doi:10.18061/dsq.v30i3/4.1282

Disability, Non-disability and the Politics of Mourning: Re-conceiving the 'we'

2010· article· en· W1603262321 on OpenAlexaboutno aff
Anne McGuire

Bibliographic record

VenueDisability Studies Quarterly · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsGlobePoliticsNewspaperDisability studiesCognitive disabilitiesRelation (database)Gender studiesSociologyCognitionPsychologyHistoryPsychoanalysisPolitical scienceLawMedia studiesPsychiatry

Abstract

fetched live from OpenAlex

In December of2007, the Globe and Mail, one of Canada’s national newspapers, published a series of articles written by columnist Ian Brown. In the three part-series entitled, “The Boy in the Moon,” Brown narrates his life with his cognitively disabled son. This paper explores Brown's articles in relation to Judith Butler's (2004) "Violence, Mourning, Politics," and conducts an analysis of how cognitive disability is being enacted as "not quite a life" (34). This paper demonstrates how Brown’s articles tell the story of cognitive disability as a state of brokenness, some-thing that requires fixing. Significantly, when disability defies and/or resists fixing, it is discursively re-framed as a tragic loss. By attending to the making of disability in Brown’s articles, this paper is more broadly interested in how disabled and non-disabled bodies ('we') are being formed in and through social spaces.

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 score0.091
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0220.107
Scholarly communication0.0150.010
Open science0.0020.008
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.361
Teacher spread0.327 · 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

Citations27
Published2010
Admission routes1
Has abstractyes

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