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Record W4391455391 · doi:10.5206/fpq/2023.4.14490

Spaces for Becomings?

2023· article· en· W4391455391 on OpenAlexvenueno aff
C. King

Bibliographic record

VenueFeminist Philosophy Quarterly · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSpatial and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

This article examines the possibilities and limits of Paul Preciado’s book Testo yonqui (Testo Junkie) to inspire gender becomings. A genre-fluid “body-essay,” Preciado’s text follows his self-administration of testosterone in what he terms the pharmacopornographic era, a modern iteration of Foucault’s biocapitalism. After designating Preciado’s self-generated transformations as becomings, I explore how the book’s heterotopic spaces—including its genre—facilitate Preciado’s quest for a gender identity that cannot be labeled. A Foucauldian term, “heterotopia” has not yet been applied to Testo yonqui or other transgender texts, and it provides a productive template for the complex interplay of individuals and society. While I critique the vulnerability of heterotopias, and, by proxy, of Testo yonqui, to harmful power dynamics, I ultimately uphold Testo yonqui’s ability to destabilize rigid narratives of identity.

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)0.003
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.048
Scholarly communication0.0120.017
Open science0.0010.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.060
GPT teacher head0.334
Teacher spread0.274 · 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 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
Published2023
Admission routes1
Has abstractyes

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