“Damned if you do, damned if you don’t”: Women’s accounts of feigning sexual pleasure
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.
Bibliographic record
Abstract
Faking orgasm has been identified as a common practice among women and feminist scholars have probed the connections between the socio-cultural meanings associated with faking and heterosex. Expanding on this line of inquiry, feigning sexual pleasure was explored in interviews with 14 women who reported having sex with men. Using a feminist critical discourse analytic approach, we attend to the dilemma that was frequently evoked in women’s accounts. Participants explained that feigning sexual pleasure was done in order to protect their partners’ ego. However, participants also talked about faking orgasm as being problematic in the sense that it was “deceitful” and “dishonest”. These contrasting discursive patterns created a dilemma whereby faking was situated as “necessary” but “dishonest”. As a way of negotiating this dilemma, participants made a distinction between exaggerating sexual pleasure and faking orgasm. We posit that exaggeration can be interpreted as a form of material (during the sexual encounter) and discursive (during accounting of the encounter) disruption of dominant discourses of heterosex such as the orgasmic imperative. Drawing on Annamarie Jagose’s and Hannah Frith’s problematizations of the prevailing tendency to position orgasm as either “authentic” or “fake”, we discuss women’s negotiation of the limited constructions of “real” pleasure.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it