Strategies and scripts: an investigation of masculine identity and casual sex
Bibliographic record
Abstract
This study analyzed men’s lifestyle websites within the Pick-Up Artist (PUA) community. Employing a feminist post-structural framework, this analysis investigates how heterosexual masculinity is constructed online and aims to examine how sexual activity with multiple women is positioned as valuable to men. Four interpretive repertoires emerged: uncovering the natural —mental and physical work were required to access an authentic, natural maleness; militarization — men were rallied to defend male privilege; feminine commodities for building masculinity — women’s bodies were situated as commodities used to demonstrate achievement of masculinity; and pressured pursuit — men were urged to be the directors of sex and to overcome the obstacle of female consent. PUA authors disavowed the importance of women, though sex from women operated as a central requisite for convincingly achieving masculinity. Key tenets of neoliberalism were regularly present, where male readers were urged to decide to improve and cultivate their outward appearance, behaviours, and subjectivity.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".