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Record W2899681305 · doi:10.29173/psur19

Queering the Docile Body

2016· article· en· W2899681305 on OpenAlexvenueno aff
Emma Kauffman

Bibliographic record

VenuePolitical Science Undergraduate Review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHuman sexualityGender studiesSociologyNormativeHegemonyMainstreamAestheticsEpistemologyPoliticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Increasingly, there is a view that the recent emergence of sexual and gender diversity has helped to move mainstream society towards the eradication of the normative privileging of particular genders and sexualities. However, when we look beneath the surface it is more likely to be a reconfiguration of the heterosexual matrix, a term defined by Judith Butler as that grid of cultural intelligibility through which norms are created and maintained in bodies, genders, and desires and how they appear natural (Butler, 24). Using Judith Butler’s heterosexual matrix as my foundation, this paper will demonstrate the ways in which gender and sexuality become naturalized in order to explore the normalization process of both heterosexual desire, or orientation, and the gender binary. It will argue that although we are in the midst of a historic mobilization of diverse and complex (trans)gender movements, the sphere of intelligibility continues to be subject to hegemonic interpretations. These interpretations privilege a binary model of genders and sexual behaviors, thus resulting in a continuation of normative identities and desires. Further, as this essay will explicate, the heterosexual matrix, in accordance with neoliberalism, work as a mechanism of power that designates what is an intelligible life. As such, without first locating these functions of power, the push for a more fluid and open understanding of gender, sexuality and desire will continue to fail, and the space for widespread change will dissolve.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.952
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.042
GPT teacher head0.364
Teacher spread0.322 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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