Alzheimer’s, Age Panic, Neuroscience: Media Discourses of Dementia and Care
Bibliographic record
Abstract
Abstract Age discrimination, long habitual internationally, is now developing into age panic as longevity becomes the norm. People are increasingly living through their 80s and 90s, threatening social systems—not just health care, but also education, transportation, and economics. A by-product of longevity is Alzheimer’s disease (AD) or dementia more broadly, and this the focus of our essay. Five million people in the United States (the greater part women) currently have Alzheimer’s or dementia, and the figure is projected to grow exponentially as the baby boom generation ages. Fear, and other powerful affects, are generated in the aging Eurocentric public through overwhelmingly negative images of dementia. Prominent circulating AD images portray white, middle-class women and men; they are typically cared for by heroic family members, with the occasional, backgrounded appearances of racialized care workers. Such discourses betray a noticeable ageism, together with gendering, racialization, and medicalization of the illness. The reification of neuroscience studies of AD perpetuates understanding of AD subjects as having lost their subjectivity and as a burden to health-care systems. As the politics of care becomes ever more fraught with the increase in numbers of diagnosed elderly people, media discourses take on particular significance. Largely negative, images have obvious implications for long-term care in discourse and in practice. Since improving care depends on how the AD subject is visualized and conceptualized, critical analyses of works dealing with age panic, and especially how it arises in relation to cultural understandings of dementia, are essential. Critiques by humanists and psychologists may contribute to improving care of AD subjects, both in long-term facilities and “in place.” Improved care can contribute to transforming the popular understanding of a dementia crisis, thus addressing the central impetus of age panic. Meanwhile, new films, fiction, memoirs, and graphic arts projects are powerful complements to psychological studies aimed at developing new ways of seeing AD subjects.
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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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.021 | 0.052 |
| Scholarly communication | 0.021 | 0.021 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".