End-of-Life Preparations Among LGBT Older Canadian Adults: The Missing Conversations
Bibliographic record
Abstract
LGBT (lesbian, gay, bisexual, and transgender) older adults are more likely than their heterosexual peers to age with limited support in stigmatizing environments often poorly served by traditional social services challenging their preparedness for end of life. Fourteen focus groups and three individual interviews were conducted in five Canadian cities with gay/bisexual men (5 groups; 40 participants), lesbian/bisexual women (5 groups; 29 participants), and transgender persons (3 interviews, 4 groups; 24 participants). Four superordinate themes were identified: (a) motivators and obstacles, (b) relationship concerns, (c) dynamics of LGBT culture and lives, and (d) institutional concerns. Several pressing issues emerged including depression and isolation (more common among gay and bisexual men), financial/class issues (lesbian and bisexual women), and uncomfortable interactions with health-care providers (transgender participants). These findings highlight the challenges and complexities in end-of-life preparation within LGBT communities.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.037 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".