Perceived emotional and sexual satisfaction across sexual relationship contexts: Gender and sexual orientation differences and similarities
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
Despite general perceptions of committed romantic relationships as the most satisfying context with which to engage in sexual activity, acceptance of casual sexual contexts has increased in recent years. Yet little research has examined sexual and emotional satisfaction outside of the committed relationship context. Further, most satisfaction research has focused exclusively on heterosexual samples. The present study aimed to investigate sexual and emotional satisfaction derived from seven sexual relationship contexts and note similarities or differences based on gender and sexual orientation. Data were drawn from an online survey of 6,955 sexually diverse participants. Sexual satisfaction was stronger than emotional satisfaction within casual sex contexts (one night stand, first date, sex with a friend, and hookups) than within more committed contexts (married, living together, committed unmarried relationship). Men found all contexts except for sex in a committed unmarried relationship significantly more sexually and emotionally satisfying than women. Emotional and sexual satisfaction were significantly different across sexual orientation groups in casual sexual relationship contexts but not in more committed relationship contexts. Gay men reported gaining the most sexual and emotional satisfaction out of casual sex contexts, with lesbian women reporting the least out of casual sexual contexts. Overall, this research found that a wide variety of relationship contexts, including casual sexual contexts, can be a source of both sexual and emotional satisfaction.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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