Bibliographic record
Abstract
OBJECTIVE: This article examines whether consultations with health care providers, not having a regular doctor, unmet health care needs, and receipt of preventive screening tests vary by sexual identity for Canadians aged 18 to 59. DATA SOURCE: Results are based on the Canadian Community Health Survey, combined 2003 and 2005 data. ANALYTICAL TECHNIQUES: Cross-tabulations were used to compare utilization rates of selected health care providers by sexual identity. Multiple logistic regression models that controlled for predisposing, enabling and health need variables were employed to ascertain if sexual identity was independently associated with health care use, not having a regular doctor, unmet health care needs, and receipt of preventive screening tests. MAIN RESULTS: Gay men, lesbians and bisexual people were more likely than heterosexuals to consult mental health service providers. Lesbians had lower rates of consulting family doctors and were less likely to have had a Pap test, compared with heterosexual women. Bisexuals reported more unmet health care needs than did their heterosexual counterparts.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".