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Record W2795177605 · doi:10.15353/cjds.v7i1.405

Review of Berger, The Disarticulate: Language, Disability, and the Narratives of Modernity (2017).

2018· article· en· W2795177605 on OpenAlexaffvenue
Jennifer Janechek

Bibliographic record

VenueCanadian Journal of Disability Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsModernityNarrativeAssertionDisability studiesArticulation (sociology)SociologyPsychoanalysisLate modernityGender studiesThe SymbolicOrder (exchange)AestheticsPsychologyEpistemologyLinguisticsPhilosophyAnthropologyLawPolitical science

Abstract

fetched live from OpenAlex

“[D]isability theory seems marked by an inability to mourn while trauma theory suffers from an inability to stop mourning” (11). With this powerful assertion, James Berger launches his critique of the disjuncture between disability studies and trauma studies in The Disarticulate: Language, Disability, and the Narratives of Modernity, a work that explores figurations of “dys-/disarticulation,” or failures of articulation that result in exclusion from the social-symbolic order, in modernist literature.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0080.012
Science and technology studies0.0020.005
Scholarly communication0.0050.007
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.003

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 head0.049
GPT teacher head0.305
Teacher spread0.256 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2018
Admission routes2
Has abstractyes

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