It’s Complicated: Improving Undergraduate Nursing Students’ Understanding Family and Care of LGBTQ Older Adults
Bibliographic record
Abstract
Research has identified the need for improved cultural competence of health care providers regarding the lesbian, gay, bisexual, transgender, and queer (LGBTQ) community's needs. This article articulates the teaching approach and methodology of an unfolding LGBTQ family case study for undergraduate nursing students. This method provided a forum for exploration of personal biases and gender-affirming techniques, and addressed the challenges of aging for a transgender woman and family within the context of societal stigma and discrimination. Students gained knowledge concerning shifts in family structures and understanding of the nurses' role encouraging inclusiveness and equitable access in health care settings, advocating for vulnerable populations, and addressing specific health concerns for transgender older adults. Student responses demonstrated increased knowledge of family diversity, and critical thought regarding the intersectionality of discrimination and aging. The findings revealed the case study methodology facilitated student understanding of the unique health and social issues for LGBTQ older adults within a family context.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".