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Record W2900309839 · doi:10.29173/psur20

Seeing Flesh: Naked Body Protests and Gender Performance in Post-Soviet Ukraine

2016· article· en· W2900309839 on OpenAlexvenueno aff
Sarah Labahn

Bibliographic record

VenuePolitical Science Undergraduate Review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHannah Arendt's Political Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsFemininityPublic sphereGender studiesPerformativityPoliticsSociologyPrivate sphereFeminismPolitical scienceLaw

Abstract

fetched live from OpenAlex

Butler’s theory of gender performativity, I attempt to draw connections between how the body interacts in Ukraine’s public and private sphere since the emergence of Femen in 2008. My research explores the ways in which deviant gender performances – such as the use of sextremism and hypersexualized acts in a hyper-masculine domain - have the ability to alter past meanings associated with the body. In such, the body becomes empowered through its own redefinition. Despite conflicting opinions about the effectiveness of this form of protest, this paper argues that Femen has successfully challenged conventional norms of femininity in the public sphere through its naked body protests by redefining the body as a political tool and as a site of liberation – thereby creating a space for politically active women in the traditionally masculine sphere of politics. The implications of this research provide insight into similar radical feminist movements that engage the body in overtly sexual and public ways. By understanding the body through Butler’s theory of gender performance, these feminist movements can be critically understood as resistant, empowering, and liberating.

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)0.004
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.902
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.001
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 head0.051
GPT teacher head0.361
Teacher spread0.309 · 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.

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

Citations1
Published2016
Admission routes1
Has abstractyes

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