Book Review: ‘Dignity for Deeply forgetful people: How caregivers can meet the challenges of Alzheimer’s Disease by Stephen Post’ PostStephen G.. ‘Dignity for Deeply forgetful people: How caregivers can meet the challenges of Alzheimer’s Disease by Stephen Post’. Baltimore: Johns Hopkins University Press, 2021, p. 268. ISBN: 9781421442501. $26.95
Bibliographic record
Abstract
In his book of Dignity for Deeply forgetful people: How caregivers can meet the challenges of Alzheimer's Disease, Post offers an insightful, comprehensive and richly detailed discussion, driven by the core belief that individuals living with dementia deserve dignity, and that their caregivers are of immense value.Reflecting on elements such as compassion, respect, equity and interdependence, Post wrote key topics related to the everyday lives of people living with dementia and their caregivers.Post starts the book with a critical reflection on the dominant hypercognitive values in Western societies, which diminish the value of people living with dementiawhom he terms "the deeply forgetful people".Then, he presents a rationale and approaches designed to instill hope in caregivers to of people living with Alzheimer's Disease.In subsequent chapters, Post delves into crucial topics such as Pre-emptive Physician-Assisted Suicide (PPAS), ethics consideration, self-identity, and the respect for preferences in healthcare and research.For readers, especially informal caregivers, this book offers profound insights into the wide spectrum of care for people living with dementia and selfcare for caregivers themselves.With a focus on dignity for people living with Alzheimer's Disease, Post addresses key questions surrounding self-identity for people with advanced dementia, hope and resilience-building in caregivers.For instance, questions like "Is grandma still there?"and "How can caregivers maintain hope?" are explored with openness, suggesting that caregivers remain attuned to the presence of their loved ones and explore "new aspects to be discovered".This book is also helpful for staff in institutional care settings, community workers, researchers, leaders, and decision-makers in gerontology.Through compelling stories, Post presents the complexity and positivity in caregiving for people living with dementia from different culture, ethnicity, religion, life experiences and socioeconomic status.These narratives provide theoretical and ethical guidance for practice, research, teaching, learning and policymaking, aimed at uplifting the dignity of people living with Alzheimer's Disease and their caregivers.In Chapter 7, Post tackles the question "Is grandma still there?"He answers it with open-mindedness, grounded in attentive listening to stories of thousands of families and drawing from multidisciplinary
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.063 | 0.034 |
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".