Taking Casual Sex Not Too Casually: Exploring Definitions of Casual Sexual Relationships
Bibliographic record
Abstract
Researchers are beginning to explore the variety of casual sexual relationships that individuals engage in. These relationships, and the subtle nuances that differentiate them, have not been studied collectively. The purpose of the present study was to qualitatively examine casual sexual relationships (CSRs), ranging from a single encounter to an ongoing sexual relationship with a friend. Male and female focus group participants identifi ed a number of implicit and explicit rules that guide the initiation, maintenance, and termination of four types of casual sexual relationships: One Nights Stands, Booty Calls, Fuck Buddies, and Friends with Benefi ts. Participants identifi ed these rules regardless of gender or whether they had previous personal experience with any of these CSRs. The results suggest that each of these relationship types can be placed on a continuum of casual sex according to various dimensions, including frequency of contact, type of contact (sexual and/or social), personal disclosure, discussion of the relationship, and friendship. Participants' shared understanding of CSRs suggests that young adults may have common cultural knowledge of these relationships and a fl uid conceptualization of what constitutes a relationship.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.005 | 0.019 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".