“It Feels So Good It Almost Hurts”: Young Adults' Experiences of Orgasm and Sexual Pleasure
Bibliographic record
Abstract
Orgasm is a "goal" of much sexual activity, and a source of potentially intense pleasure and fulfillment, yet can be fraught with difficulty or distress. Relatively little social science research has explored people's experiences around, and their meanings related to, orgasm, and indeed other sexual pleasures, especially with young adults. This study aimed to provide a rich exploration of the meanings associated with orgasm and sexual pleasure during sex with a partner, to understand the social patterning of orgasm experience. A qualitative survey was used to collect data from 119 sexually experienced British young adults (81% women, mean age 20, 92% heterosexual). A descriptive form of thematic analysis that prioritizes participants' meanings and experiences was used to identify and explore patterns in the data. Five main themes are reported here: (a) orgasm: the purpose and end of sex; (b) "it's more about my partner's orgasm"; (c) orgasm: the ultimate pleasure?; (d) orgasm is not a simple physiological response; and (e) faking orgasm is not uncommon. These (mostly not gendered) themes demonstrate the complex and contradictory meanings around orgasm, and reveal meaning to be dependent on situation and context. However, they do resonate strongly with widespread discourses of sexuality that prioritize heterosexual coitus, orgasm, and orgasm reciprocity.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| 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 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".