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Record W2619159862 · doi:10.1080/01596306.2017.1301881

Beautiful minds and unruly bodies: embodiment and academic identity in<i>Still Alice</i>and<i>The Theory of Everything</i>

2017· article· en· W2619159862 on OpenAlexaff
Elizabeth Marquis

Bibliographic record

VenueDiscourse Studies in the Cultural Politics of Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsScholarshipIdentity (music)IntellectualismAlice (programming language)SociologyRepresentation (politics)Disability studiesAestheticsEpistemologyPsychoanalysisGender studiesPsychologyArtPhilosophyArt historyPoliticsLawPolitical science

Abstract

fetched live from OpenAlex

This article explores the representation of disability and academic identity in two award-winning films: Still Alice and The Theory of Everything. Drawing on scholarship about embodiment and the ‘normal professor body’, I demonstrate how the complex images of disabled academics in these films take up and replicate (to differing extents) dominant discourses of disembodied intellectualism that shape conceptions of the professoriate. As examples of public pedagogy, these representations have significant ramifications for popular understandings of disability and higher education.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.033
Scholarly communication0.0080.006
Open science0.0010.007
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.087
GPT teacher head0.476
Teacher spread0.390 · 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 designQualitative
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

Citations6
Published2017
Admission routes1
Has abstractyes

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