Novel Sexual Behavior and Relationship Quality in Long-Term Mixed-Sex Couples
Bibliographic record
Abstract
Little research has been done to examine the impact of sexual novelty on intimacy, passion, and other relationship quality indicators, despite the lay belief that sexual experimentation can rekindle the lost “spark” in relationships. The current study aimed to fill this gap using a pre-post experimental design embedded within a 29-day dyadic diary framework. After two weeks of providing baseline data concerning feelings of intimacy and passion, ease of sexual communication, and sexual and relationship satisfaction, participating mixed-sex couples (N = 128) were randomly assigned to one of three conditions: a control condition in which couples were not asked to engage in novel sexual activities; a sexual position condition in which couples were asked to try out five novel sexual positions; or a vibrator condition in which couples were asked to use a novel vibrator while engaging in five new sexual positions. Couples then provided assessments of the same relationship quality indicators that had been baselined over the course of two weeks. Passion was significantly higher among participants in the vibrator condition than participants in the control condition immediately following the intervention but declined back to baseline levels by the end of study. No other differences in the relationship quality indicators were found across the conditions. These results suggest that sexual novelty may have short-term effects on passion, though these effects are transitory and unrelated to other aspects of sexual and relationship quality.
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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 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".