Open Relationship Prevalence, Characteristics, and Correlates in a Nationally Representative Sample of Canadian Adults
Bibliographic record
Abstract
Open relationships are those in which individuals agree to participate in sexual and/or emotional and romantic interactions with more than one partner. Accurate estimates of the prevalence of open relationships, based on representative, unbiased samples, are few, and there are none from outside of the United States. We present findings from a nationally representative sample of 2,003 Canadian adults, administered in 2017 via an online questionnaire. Overall, 2.4% of all participants, and 4.0% of those currently in a relationship, reported currently being in an open relationship. One-fifth of participants reported prior engagement in an open relationship, and 12% reported open as their ideal relationship type. Men, compared with women, were more likely to report prior open relationship engagement and to identify open as their ideal relationship type. Younger participants were more likely both to engage in and to prefer open relationships. Relationship satisfaction did not differ significantly between monogamous and open relationships. Having a match between one's actual relationship type and one's preferred relationship type was associated with greater relationship satisfaction. Findings suggest that, while currently only a small proportion of the population is in an open relationship, interest in open relationships is higher, particularly among younger adults, and open appears to be a viable and important relationship type.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".