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Record W2138784761 · doi:10.3109/09593985.2012.676936

Critical approaches in physical therapy research: Investigating the symbolic value of walking

2012· article· en· W2138784761 on OpenAlexaff
Barbara E. Gibson, Gail Teachman

Bibliographic record

VenuePhysiotherapy Theory and Practice · 2012
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversity of TorontoHolland Bloorview Kids Rehabilitation Hospital
Fundersnot available
KeywordsNormalityValue (mathematics)FeelingPerspective (graphical)Dimension (graph theory)Critical theorySociologyPsychologyRehabilitationCerebral palsyEpistemologySocial psychologyComputer science

Abstract

fetched live from OpenAlex

Research using a critical social science perspective is uncommon in physiotherapy (PT) despite its potential advantages for investigating questions other approaches cannot address. Critical approaches can be used to expose ideas and concepts that are dominant, given, or taken-for-granted in practice in order to reflect on how "things could be otherwise." The purpose of this paper is to use an example of research examining the symbolic value of walking to outline the key features of critical research and its application to PT. The study drew from Pierre Bourdieu's sociology of practice to illuminate how socially ingrained notions of normality and disability are reflected in rehabilitation practices and affect parents and children with cerebral palsy. Dominant social assumptions about the value of walking are shown to shape individual choices and contribute to parental feelings of angst and doubt, and negative self-identities for children. The example reveals how critical approaches to research can be used to reveal the socio-political dimension of rehabilitation practice and address important research questions that have been largely neglected.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.041
metaresearch head score (Gemma)0.050
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score0.218

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.050
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.008
Science and technology studies0.0150.128
Scholarly communication0.0190.025
Open science0.0020.013
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.157
GPT teacher head0.444
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations73
Published2012
Admission routes1
Has abstractyes

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