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Record W2002140672 · doi:10.1177/1097184x09341360

Taking Control of Sex?

2009· article· en· W2002140672 on OpenAlex
Steve Garlick

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMen and Masculinities · 2009
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPornographyMasculinityThe InternetSociologyGender studiesMeaning (existential)Hegemonic masculinityConsumption (sociology)HegemonyDramaPsychologyPolitical scienceSocial sciencePoliticsLawArtPsychoanalysisLiterature

Abstract

fetched live from OpenAlex

It is widely acknowledged that gender is a key category in pornography, yet the relation of the latter to contemporary masculinities remains relatively obscure. Although there is a substantial critical literature on the positioning and treatment of women in pornography, the connection between the consumption of pornographic images and the social construction of hegemonic masculinity has been more often presumed than examined. This lacuna becomes more apparent when juxtaposed with the profusion and proliferation of Internet porn in recent years. Rather than enter into existing antiporn or proporn debates, this article seeks to pose a different set of questions about the relationship between masculinity, technology, and pornography. It suggests that the Internet produces a qualitative change in the way in which viewers are affected by pornography and that this has implications for contemporary gender relations. Beyond men’s control over women’s bodies, Internet porn participates in the larger drama of a technological confrontation between men and nature—one in which control and the meaning of masculinity is perpetually at stake.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.598
Threshold uncertainty score0.587

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.333
Teacher spread0.291 · 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