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Record W2157632787 · doi:10.1177/0361684314567303

Managed Not Missing

2015· article· en· W2157632787 on OpenAlexaffabout
Amy Brown‐Bowers, Maria Gurevich, Alexander T. Vasilovsky, Stephanie Cosma, Sarde Matti

Bibliographic record

VenuePsychology of Women Quarterly · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsUniversity of TorontoToronto Metropolitan University
Fundersnot available
KeywordsHuman sexualityPsychologyContext (archaeology)Agency (philosophy)NegotiationSocial psychologyGender studiesDevelopmental psychologySociologySocial science

Abstract

fetched live from OpenAlex

Our article describes findings from a project exploring sexual agency and desire among young women, focusing on the negotiation of sexuality within relationship contexts. Adopting a social constructionist framework, we used discourse analysis to examine semi-structured, audio-taped interviews with 39 Canadian young women (aged 18–26). Three related interpretive repertoires were identified, namely, (a) Sex as Relationship Hygiene (i.e., beneficial to the health of one’s relationship), (b) Sex as Exercise-esque (i.e., part of a wellness regime), and (c) Sex as Economy Exchange (i.e., a commodifiable practice within the heterosexual marketplace). Desire was not absent from participants’ accounts, however, it was channeled into specific forms of sexual expression and mediated by multiple and competing cultural imperatives. The interpretive repertoires provided spaces for agentic sex within which subjective sexual desire was not the primary motive but rather was subordinate to a rhetoric of self- and relationship improvement as a key register of sexuality. We discuss these findings in the context of postfeminist directives about sexual desirability and proficiency that young women must traverse as they develop ideas about successful female sexuality within heterosexual relationships.

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)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.502
Threshold uncertainty score0.711

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.002
Scholarly communication0.0060.007
Open science0.0020.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.5020.248

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 head0.072
GPT teacher head0.374
Teacher spread0.302 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations20
Published2015
Admission routes2
Has abstractyes

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