Self-rated health and health service use among bisexual female undergraduate students on Canadian Maritime campuses
Bibliographic record
Abstract
Objective: To identify predicting factors for self-rated health and use of health services among undergraduate bisexual women in the Maritime Provinces, and improve knowledge on the health needs of this population. Participants: A sample of 357 undergraduate bisexual women who participated in the Maritime Undergraduate Student Sexual Health Services Survey (N = 10, 232) between September and November 2012. Methods: Guided by the Prince Edward Island Conceptual Model for Nursing, a secondary analysis of cross-sectional data was conducted using descriptive statistics and simple/multiple logistic regression models. Results: Logistic regression models revealed that self-rated health was significantly predicted by perceived social support (OR = 1.04), while health service use was significantly predicted by previous experience of forced sex (OR = 0.26). Conclusions: It is hopeful that these findings will support the development of inclusive health strategies that target bisexual women’s psychosocial health needs on Maritime university campuses.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".