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Record W2141354968

Taking Tragic Measures? Disability Studies’ Anti-Metrology and the Government of Thalidomide

2014· article· en· W2141354968 on OpenAlex
Thomas Abrams

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

VenueTheoria & praxis · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsCarleton University
Fundersnot available
KeywordsTragedy (event)ThalidomideSubjectivityDisability studiesSubject (documents)NarrativeGovernment (linguistics)SociologyCriticismEpistemologyPsychologyPsychoanalysisPolitical scienceMedicinePhilosophyLawGender studiesSocial scienceComputer scienceLinguistics
DOInot available

Abstract

fetched live from OpenAlex

This paper interrogates the relationship between thalidomiders, the name used by victims of the drug thalidomide, and the kinds of subjectivity assumed in disability studies as an activist research enterprise.  The thalidomide case presents a fundamental challenge to disability studies’ understanding of tragedy.  I begin by reviewing some founding and more recent literature in disability studies.  Next, I discuss the thalidomide tragedy, and how victims groups are using their existence as tragic in order to participate in the drug’s regulation and the public narratives of the drug.  In the third section of this paper, I discuss three perspectives on subject formation, the Foucauldian, the Heideggerian, and Actor-Network Theory, and ask how we can make sense of this instance tragic subject-formation.  I make a distinction between ‘active’ and ‘passive’ tragedy discourse, and conclude with a discussion of how disability studies might continue to talk about active tragedy.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.005
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 head0.035
GPT teacher head0.347
Teacher spread0.312 · 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