From wandering to wayfaring: Reconsidering movement in people with dementia in long-term care
Bibliographic record
Abstract
The movement of people with dementia in long-term care continues to be an issue of concern among clinicians, caregivers and families. This article will examine the social construction "wandering" and its association with pathology, risk discourse and surveillance technologies. Further, the article will explore the recent shift from the term "wanderer" to the phrase "people who like to walk" in person-centred dementia care. Engaging with Ingold's concept of movement as wayfaring, an alternative becoming-centred understanding of movement and its significance for people with dementia will be presented and illustrated through a case study. The paper concludes that depathologizing movement opens the possibility to see movement in people with dementia as an intention to be alive and to grow, rather than as a product of disease and deterioration. Suggestions for future research and implications for care interventions are discussed.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.036 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".