The structure of casual sexual relationships and experiences among single adults aged 18–30 years old: A latent profile analysis
Bibliographic record
Abstract
Research on casual sexual relationships and experiences (CSREs) has increased in the last decade; however, there is no consensus about the scope and definition of CSREs. To describe the main forms of CSREs, a latent profile analysis was performed on single and sexually active men and women aged from 18 to 30 years old who described their last casual sexual experience. Five profiles were identified: 1) the one-time sexual encounter; 2) the ex-romantic partnership, in which one still has sexual contact after ending their romantic relationship; 3) the mostly about sex partnership, in which contacts are primarily sexual, whether or not a friendship exists; 4) the intimate and sexual partnership, a hybrid of friend and romantic partner with whom one has frequent sexual and social interactions without commitment or intent to form a couple; 5) the friendship first partnership, a friendship to which sex is added, where social activities and friendly interactions dominate. Participants across profiles differed according to the number of sexual partners in the past year, their intention of having other sexual contacts with the partner, being under the influence of alcohol or drugs during the most recent sexual encounter with their partner and their type of sexual exclusivity agreement. This research contributes to a better description and understanding of CSREs among young adults and to further specifying its area of investigation.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".