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Record W2132331342

Informing Therapeutic Practice through the Walking Program Experiences of Rehabilitation Clients With Stroke and Traumatic Brain Injury

2014· article· en· W2132331342 on OpenAlexaff
Nancy Spencer-Cavaliere, Dianne Bowtell, Megan L. Langager

Bibliographic record

VenueTherapeutic Recreation Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRehabilitationTraumatic brain injuryRecreationRecreational therapyContext (archaeology)PsychologyStroke (engine)Physical therapyPsychotherapistPhysical medicine and rehabilitationMedicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this interpretive description case study was to explore the therapeutic recreation walking program experiences of rehabilitation patients. Scannell and Gifford’s (2010) place attachment framework was used as the interpretive lens. Seventeen adults (11 women and 6 men) between 23 and 72 years of age, diagnosed with stroke or traumatic brain injury, participated. Data were collected using semi-structured interviews, participant observations, and field and reflective notes. The analysis led to three themes: (a) the experience of disability, (b) finding camaraderie, and (c) intentional therapeutic programming. The findings are discussed in the context of place attachment and their implications for practice, specifically in relation to supporting transition to community.

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)0.007
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0120.015
Scholarly communication0.0060.006
Open science0.0030.009
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.347
Teacher spread0.323 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2014
Admission routes1
Has abstractyes

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