Demographics, Preventive Services Compliance, Health, and Healthcare Experiences of Lesbian, Gay, and Bisexual Employed Adults
Bibliographic record
Abstract
OBJECTIVE: This study examined demographics, health risks and conditions, preventive services, and health care experiences of lesbian, gay, bisexual, transgender, or questioning (LGBTQ) adults who are employed in the United States. METHODS: Male and female gay, lesbian, or bisexual employees (N = 1191) from seven companies participated in an online survey. RESULTS: Differences were observed in the characteristics of gays, lesbians, and bisexuals on a number of demographic, health, and preventive services measures. Differences were also seen compared to previous studies about LGBTQ adults in the general population. CONCLUSIONS: Employers have a vested interest in making sure their employees have access to quality health care that addresses their unique needs. There is much room for improvement in this area, since a large percentage of respondents reported negative health care experiences, avoiding or postponing care, and difficulty finding an LGBTQ-experienced healthcare provider.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".