Securing sex: Embattled masculinity and the pressured pursuit of women’s bodies in men’s online sex advice
Bibliographic record
Abstract
This article describes findings from a study examining men’s sex advice centered on cultivating masculinity markers by obtaining sex from multiple women. Employing a feminist poststructuralist framework, discourse analysis is used to investigate how casual sex with multiple women is positioned as a crucial requirement in accruing social status and esteem in men’s online Pick-Up Artist (PUA) advice media. Three interpretive repertoires emerged: (a) Embattled Masculinity – defensive and combative themes are invoked to defend male privilege through the concealed pursuit and sexual command of women; (b) Feminine Commodities – women’s bodies are framed as commodities to signify masculinity achievement; and (c) Pressured Pursuit and Consent as Control – men are positioned as authorities in sex, presumed to hold both the responsibility and power to overcome the obstacle of female consent. Obtaining sex from women is the primary objective of PUA advice – an accumulation resource used to bolster an “authentic” masculinity. While securing sex from women is promoted as the main goal, and a fundamental requirement for masculine subjects, references to the value of the women themselves are conspicuously absent or disclaimed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".