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Record W2048173062 · doi:10.1177/1363460713479755

Sexuality and the ethics of body modification: Theorizing the situated relationships among gender, sexuality and the body

2013· article· en· W2048173062 on OpenAlexaff
Jaye Cee Whitehead, Jennifer S. Thomas

Bibliographic record

VenueSexualities · 2013
Typearticle
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHuman sexualityIdentity (music)Gender studiesSociologyNormativeConstruct (python library)SituatedSocial psychologyPhysical bodySubjectivitySexual identitySocial constructionismPsychologyEpistemologyAestheticsSocial science

Abstract

fetched live from OpenAlex

Drawing from our qualitative, in-depth interviews of 35 professionals who write referral letters for “gender transition,” we explore how practitioners’ decisions to approve, delay or refuse access to body modifications speak to the centrality of normative concepts of sexuality and the social function of bodies in the cultural politics of gender identity. We argue that practitioners construct what we call an ethic of body modification that tends toward reducing the body to its symbolic function—as a representation of the subject’s true gender and a basis for sexual identity. We also discuss the views of a minority of practitioners who resist this tendency by creating an alternative path for body modification independent from identity claims. We conclude by discussing the cultural/political implications of pseudo-scientific discourses that assume gender identity is natural, stable and universal, whereas bodies are flexible and malleable social representations.

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)0.014
metaresearch head score (Gemma)0.015
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.087
Scholarly communication0.0080.007
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.131
GPT teacher head0.354
Teacher spread0.223 · 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

Citations11
Published2013
Admission routes1
Has abstractyes

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