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Record W2438513800 · doi:10.1177/0191453716651667

‘You be my body for me’

2016· article· en· W2438513800 on OpenAlexaff
Catherine Kellogg

Bibliographic record

VenuePhilosophy & Social Criticism · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHegelianismPoliticsPhilosophyProperty (philosophy)Phenomenology (philosophy)Marxist philosophyAestheticsEpistemologySociologyLawPolitical science

Abstract

fetched live from OpenAlex

Judith Butler and Catherine Malabou’s recent exchange, ‘You Be My Body for Me: Body, Shape and Plasticity in Hegel’s Phenomenology of Spirit’, is remarkable because in their rereading of Hegel’s famous lord and bondsman parable, rather than focusing on recognition, work, or even desire, Butler and Malabou each wonder about how Hegel contributes to a new way of thinking about ‘having’ a body and how coming to ‘be’ a body necessarily involves a kind of dispossession. Butler and Malabou’s reading of Hegel is congruent with a current shift on the left away from a liberal politics of recognition to a (post-)Marxist analytic of dispossession: a move, in other words, away from liberal ‘solutions’ of redistribution – of either goods or recognition – towards thinking through issues of settler colonialism, forced migration and empire. Butler and Malabou’s piece points towards the insight that Hegel’s parable must be thought in terms of the political history of possessive individualism, and so in terms of the history of juridically defined property relations; the history of regarding both the body and the land as property. The ‘two valences’ of dispossession, in other words, refers in fact to a logic of property relations, one between those who ‘have’ property (either land or the property of their own bodies) and those who are juridically defined as propertyless.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.975
Threshold uncertainty score0.869

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.067
GPT teacher head0.354
Teacher spread0.286 · 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 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

Citations4
Published2016
Admission routes1
Has abstractyes

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