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Record W2033348610 · doi:10.2478/rehab-2014-0038

Occupational therapy based on Canadian Model of Occupational Performance and Engagement in rehabilitation process in patient with rheumatoid arthritis

2014· article· en· W2033348610 on OpenAlexaboutno aff
Aneta Bac, Urszula Chrabota, Paulina Aleksander-Szymanowicz

Bibliographic record

VenueAdvances in Rehabilitation · 2014
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsInterdependenceOccupational therapyRheumatoid arthritisProcess (computing)MedicineRehabilitationWork (physics)Physical therapyComputer scienceSociologyMechanical engineeringEngineeringSocial science

Abstract

fetched live from OpenAlex

Abstract Introduction: The article introduces the fundamental principles of the Canadian Model of Occupational Performance and Engagement (CMOP-E) and the Canadian Practice Process Framework (CPPF). Case study: The model specifies and describes the main areas of interest of occupational therapists ‒ the person, the occupation and environment, and mutual relations and interdependencies between these components. It takes into consideration not only the aspect the occupation being performed by the patient, but also the significance of the patient’s involvement in the activity performed. The Canadian model is based on the model of client-centred practice. Summary: Apart from the elaboration on the theoretical principles of the CPPF-based therapeutic process, this paper also presents an example of the practical application of this model involving work with a rheumatoid patient.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score0.404

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0050.005
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.042
GPT teacher head0.414
Teacher spread0.371 · 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 designObservational
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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