Objecting: Multiplicity and the practice of physiotherapy
Bibliographic record
Abstract
Drawing from Annemarie Mol's conceptulisation of multiplicity, we explore how health care practices enact their object(s), using physiotherapy as our example. Our concern is particularly to mobilise ways of practicing or doing physiotherapy that are largely under-theorised, unexamined or marginalised. This approach explores those actions that reside in the interstitial spaces around, beneath and beyond the limits of established practices. Using Mol's understanding of multiplicity as a theoretical and methodological driver, we argue that physiotherapy in practice often subverts the ubiquitous reductive discourses of biomedicine. Physiotherapy thus enacts multiple objects that it then works to suppress. We argue that highlighting multiplicities opens up physiotherapy as a space which can broaden the objects of practice and resist the kinds of closure that have become emblematic of contemporary physiotherapy practice. Using an exemplar from a rehabilitation setting, we explore how physiotherapists construct their object(s) and consider how multiplicity informs an otherwise physiotherapy that has broader implications for health care and rehabilitation.
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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 | 0.021 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.020 | 0.142 |
| Scholarly communication | 0.021 | 0.024 |
| Open science | 0.002 | 0.024 |
| Research integrity | 0.005 | 0.008 |
| 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".