Day-to-Day Changes in Intimacy Predict Heightened Relationship Passion, Sexual Occurrence, and Sexual Satisfaction
Bibliographic record
Abstract
The current research tested a model proposed by Baumeister and Bratslavsky (1999) suggesting that passion’s association with intimacy is best understood as being linked with changes in intimacy over time. Within this framework, when intimacy shows relatively large and rapid increases, levels of passion should be high. When intimacy remains unchanged over time, levels of passionate experience should be low. To test this hypothesis, 67 heterosexual couples involved in long-term relationships completed daily measures of intimacy, passion, and sexual satisfaction for 21 consecutive days. Analyses guided by the actor–partner interdependence model ( Kenny, Kashy, & Cook, 2006 ) demonstrated that day-to-day changes in intimacy for both partners predicted relationship passion, sexual frequency, and sexual satisfaction in a manner conforming to Baumeister and Bratslavksy’s model. These results represent the first empirical support for this model of intimacy and passionate experience.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".