Navigating intersecting identities: Dimensions of religiousness/spirituality and sexual orientation predicting sexual distress among emerging adults
Bibliographic record
Abstract
Emerging adulthood is a developmental period characterized by the exploration, shaping, and negotiation of many aspects of identity, including religiousness and spirituality, sexual orientation, and gender identity. Such aspects of one’s identity have implications for psychological and sexual well-being. Previous research has indicated that religiousness/spirituality, sexual orientation, and gender identity may have implications for sexual well-being and sexual distress. However, the intersectional relationships between these aspects of identity and sexual distress among emerging adults have yet to be investigated. Accordingly, the current study examined the role of religiousness/spirituality, sexual orientation, and gender identity in predicting sexual distress in emerging adults. A sample of 266 adults aged 18–30 years old completed an online survey assessing sexual distress, various dimensions of religiousness/spirituality, sexual orientation, and gender identity. Multiple hierarchical regression analysis indicated that minority sexual orientation and four dimensions of religiousness/spirituality (daily spiritual experiences, forgiveness, religious and spiritual coping, and religious support) significantly predicted greater sexual distress. These results indicate that sexual distress is minimally influenced by sexual orientation, thus suggesting that specific aspects of religiousness/spirituality may be important for buffering against sexual distress among emerging adults.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".