Dilemmas of intervention: From person-centred to alienation-centred dementia care
Bibliographic record
Abstract
Discussions regarding personhood and dementia care are often based on practices of recognition; on notions of being-or not being- 'one of us'. This article provides a short overview of personhood as articulated in dementia care, especially in the assemblage of practices known as 'person-centred care' (PCC), and in post-human approaches that developed following the critique of PCC. This article posits an alternative framework, based on a rereading of the concept of alienation, that we want to call 'alienation-centred care'. It considers the extent to which dynamic prosthetic networks can be adapted to the lives of people with dementia, rather than only examining the individual's reactivity to dementia interventions that define traditional approaches. It further urges us to understand the multiple origins of alienating states. Conclusions explore how this framework might address some of the limitations identified in both humanist and post-human approaches to personhood and dementia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".