PREPARATIONS FOR END OF LIFE AMONG LGBT OLDER CANADIANS
Bibliographic record
Abstract
Research over the last decade has documented the unique historical experiences and demographic characteristics of lesbian, gay, bisexual and transgender (LGBT) older adults. To explore the influence of these and other variables on end-of-life planning, focus groups were held in five Canadian cities (Vancouver, Edmonton, Montreal, Toronto, and Halifax) with lesbians and bisexual women (n=29), gay and bisexual men (n=39) and transgender individuals (n=23) age 55+. All groups described difficulty identifying potential caregivers and engaging others in discussion of end-of-life issues. Lesbians and bisexual women highlighted the need for community intervention, gay and bisexual men issues of trust and the legacy of HIV, transgender persons the insensitivity of health care settings. The findings show both similarities and differences between LGBT groups and while focused on the experiences of stigmatized sexual minority groups, have broad implications for others challenging traditional family norms. Service provider data (n= 26) compliment the LGBT data.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".