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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".