Lesbian, Gay, Bisexual and Trans* Individuals Living with Dementia
Bibliographic record
Abstract
This groundbreaking collection is the first to focus specifically on LGBT* people and dementia. It brings together original chapters from leading academics, practitioners and LGBT* individuals affected by dementia. Multi-disciplinary and international in scope, it includes authors from the UK, USA, Canada and Australia and from a range of fields, including sociology, social work, psychology, health care and socio-legal studies.Taking an intersectional approach – i.e. considering the plurality of experiences and the multiple, interacting relational positions of everyday life – LGBT Individuals Living with Dementia addresses topics relating to concepts, practice and rights. Part One addresses theoretical and conceptual questions; Part Two discusses practical concerns in the delivery of health and social care provision to LGBT* people living with dementia; and Part Three explores socio-legal issues relating to LGBT* people living with dementia.This collection will appeal to policy makers, commissioners, practitioners, academics and students across a range of disciplines. With an ageing and increasingly diverse population, and growing numbers of people affected by dementia, this book will become essential reading for anyone interested in understanding the needs of, and providing appropriate services to, LGBT* people affected by dementia.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.008 |
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".