Predictors of sexual satisfaction in Canadian heterosexual adults: An interdisciplinary approach
Bibliographic record
Abstract
This study examined predictors of sexual satisfaction in a representative sample of Canadian heterosexual adults ('N' = 1479) participating in a Compas national polling survey on relationships and sexuality. An interdisciplinary approach was used to bridge the existing gap between sociological and psychological research by incorporating both demographic and behavioural measures. Hierarchical logistic regression analysis determined the role of sociological variables (age, gender, marital status, educational attainment, religiosity, importance of religion, and region) and psychological variables (relationship problems, sexual self-disclosure, frequency of intercourse and sexual communication) in predicting participants' sexual satisfaction. The sociological variables accounted for 14% of the variance in sexual satisfaction, with the psychological variables predicting an additional 18% of the variance (32% for the full model). Frequency of intercourse was the strongest single predictor of sexual satisfaction. Results are discussed in terms of their implications for understanding sexual satisfaction in the Canadian population as a whole.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".