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Record W2116067895 · doi:10.1177/1363460709363136

Sexual Ethics and Young Women’s Accounts of Heterosexual Casual Sex

2010· article· en· W2116067895 on OpenAlexaboutno aff
Melanie A. Beres, Panteá Farvid

Bibliographic record

VenueSexualities · 2010
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsCasualHeterosexualityHuman sexualityGender studiesSociologyThematic analysisSexual ethicsSubversionPower (physics)Social psychologyPsychologyQualitative researchPolitical scienceSocial scienceLawPolitics

Abstract

fetched live from OpenAlex

Drawing on Foucault’s work on sexuality and ethics we explore young women’s accounts of heterosexual casual sex experiences in Canada and New Zealand. We focus on what Foucault calls ‘ rapport à soi ’ (the relationship one has with one’s self) to explore reports of implied ethical (and less than ethical) practices of casual sex. To do this we conducted a theoretical thematic analysis of the women’s accounts to identify accounts of ‘ care for the self ’, ‘ self-reflection’, and ‘ care for the other’. In our analysis we draw on previous feminist theorizing on heterosexuality to demonstrate how gendered heteronormative discourses are implicated in, and at times impede, an ‘ethics of casual sex’. We argue that women’s expressions of sexual ethics are particularly constrained considering gendered power relations as they relate to heternormative sexual practices. We suggest that the cultivation of ethical sexual subjectivities offer radical potential for the subversion of dominant heterosexual discourses.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0150.027
Scholarly communication0.0080.005
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.064
GPT teacher head0.402
Teacher spread0.338 · 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 designQualitative
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

Citations56
Published2010
Admission routes1
Has abstractyes

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