Older LGBT Adults’ End-of-Life Conversations: Findings from Nova Scotia, Canada
Bibliographic record
Abstract
Although increasing research attention in North America is being paid to the health and social disparities experienced among older lesbian, gay, bisexual, and transgender (LGBT) populations, end-of-life (EOL) preparations among these populations are not yet well understood. This study explored older LGBT individuals’ EOL preparations and service providers’ perceptions of such provisions. In this qualitative study, we conducted three focus groups with 15 LGBT adults aged 60 and older who have at least one chronic health condition and live in Nova Scotia. We also conducted one focus group with four service providers. We identified four themes: (a) LGBT communities of care have changed over time, (b) difficulties in asking others for help, (c) hesitancy in thinking about end-of-life, and (d) varying views on the helpfulness of internet technology. The findings illustrate ongoing tensions between being “out” about one’s sexual orientation or gender identity and being able to engage with social and health care providers in determining EOL planning.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.022 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".