“Sisters Are Doin’ It for Themselves”: Gender Differences in Singles’ Well-Being
Bibliographic record
Abstract
The experience of singles has been largely overlooked in relationship science, garnering a need for understanding correlates of singles’ well-being. Gender is an important focus of well-being research, and qualitative work on singlehood has suggested that men and women may have experiences of singlehood that differ in important ways. In this study ( N = 5941; 50% men; M age = 31.74), we provide the first comprehensive, descriptive profile of gender differences on a suite of variables with important ties to well-being in singlehood; satisfaction with relationship status, life satisfaction, sexual satisfaction, and desire for a partner. Our results suggest that single women, on average, report higher levels of satisfaction with relationship status, life satisfaction, sexual satisfaction, and lower desire for a partner. Exploratory analyses showed significant gender interactions with age and ethnicity. Overall, these findings suggest that women are, on average, happier in singlehood than men.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| 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".