The micro-politics of caring: tinkering with person-centered rehabilitation
Why this work is in the frame
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Bibliographic record
Abstract
Purpose: In this paper, we critically investigate the implementation of person-centered care with the purpose of advancing philosophical debates regarding the overarching aims and delivery of rehabilitation. While general agreement exists regarding person centered care’s core principles, how practitioners reconcile the implementation of these principles with competing practice demands remains an open question.Materials and methods: For the paper, we drew on post-qualitative methods to engage in a process of “diffractive” analysis wherein we analyzed the micro-doings of person-centered care in everyday rehabilitation work. Working from our team members’ diverse experiences, traditions, and epistemological commitments, we engaged with data from nine “care events” generated in previous research to interrogate the multiple forces that co-produce care practices.Results: We map our analyses under three categories: scripts mediate practice, securing compliance through “benevolent manipulations”, and care(ful) tinkering. In the latter, we explore the notion of tinkering as a useful concept for approaching person centered care. Uncertainty, humility, and doubt in one’s expertise are inherent to tinkering, which involves a continual questioning of what to do, what is best, and what is person centered care within each moment of care. The paper concludes with a discussion of the implications for rehabilitation and person-centered care.Implications for rehabilitationDeterminations of what constitutes good, better, or best rehabilitation practices are inevitably questions of ethics.Person-centered care is promoted as good practice in rehabilitation because it provides a framework for attending to the personhood of all engaged in clinical encounters.Post-critical analyses suggest that multiple interacting forces, conditions, assumptions, and actions intersect in shaping each rehabilitation encounter such that what constitutes good care or person-centered care cannot be determined in advance.“Tinkering” is a potentially useful approach that involves a continual questioning of what to do, what is best, and what is person-centered care within each moment of care.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 it