Care in late life, end of life and in bereavement for the oldest LGBT generations around the globe
Bibliographic record
Abstract
This special issue focuses on care in late life and at the end of life for people with diverse sexual orientations and gender identities, from an international perspective. There is a growing body of research demonstrating that LGBT people are a diverse and under-researched new ageing population, but less attention has been paid to the specific issues connected to care in late life and at the end of life. This Special Issue makes a contribution to that aim, with papers from South Africa, Lebanon, Hong Kong, Canada, US, UK, Netherlands and Spain thereby contributing to understandings of the heterogeneity of ageing, emphasising global differences, and exploring the impact of these on the lives of our oldest LGBT generations around the world. Our focus of this special issue on care in late life and at the end of life for LGBT people not only makes a valuable contribution to expand our empirical and theoretical knowledge in this field but has even greater salience when situated within the COVID-19 global pandemic.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".