How implicit theories of sexuality shape sexual and relationship well-being.
Bibliographic record
Abstract
How do people believe they can best maintain sexual satisfaction in their romantic relationships? In the current research, we draw upon the literature on implicit theories of relationships to develop and validate a scale examining 2 types of lay beliefs about how sexual satisfaction can be maintained over time. Individuals high in sexual growth beliefs think that sexual satisfaction is attained from hard work and effort, whereas individuals high in sexual destiny beliefs think that sexual satisfaction is attained through finding a compatible sexual partner. Across 6 studies (2 cross-sectional online studies, a 21-day daily experience study, 2 dyadic studies, and an experimental manipulation; N = 1,896), we find evidence that those higher in sexual growth beliefs experience higher relationship and sexual satisfaction, and have partners who are more satisfied. Conversely, the effects of sexual destiny beliefs on satisfaction are contingent upon signs of partner compatibility: When individuals high in sexual destiny beliefs experience greater sexual disagreements in their relationship, they experience lower relationship quality. These results are independent of general relationship implicit beliefs, providing evidence for the uniqueness of these 2 constructs and the importance of examining implicit beliefs in the domain of sexuality. Overall, these results provide novel evidence that individuals' lay beliefs about maintaining sexual satisfaction are important for understanding the quality of their sex lives and relationships. (PsycINFO Database Record
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".