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Record W2013013453 · doi:10.1177/000841740307000206

A Framework of Strategies for Client-Centred Practice

2003· article· en· W2013013453 on OpenAlexaffvenue
Gayle Restall, Jacquie Ripat, Marlene Stern

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2003
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsWinnipeg Regional Health Authority
Fundersnot available
KeywordsVariety (cybernetics)Action (physics)Occupational therapyReflection (computer programming)PsychologyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

BACKGROUND: Implementing strategies to overcome barriers to client-centred practice is a challenge encountered by many occupational therapists in their daily practice. The Client-centred Strategies Framework is proposed as a tool to assist occupational therapists to consider barriers and implement strategies from a variety of perspectives. DESCRIPTION: The framework consists of five categories: personal reflection, client-centred processes, practice settings, community organizing, and coalition advocacy and political action. Within each category are a number of actions that can be taken to facilitate client-centred practice. This paper describes the framework with elaboration of each of the five categories. A case example is used to illustrate how a therapist can use the framework to address client-centred practice issues. PRACTICE IMPLICATIONS: This framework will assist therapists and students to problem-solve ways to enhance the use of client-centred processes within their own practice environments.

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)0.038
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0380.020
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0070.004
Science and technology studies0.0080.047
Scholarly communication0.0220.016
Open science0.0070.011
Research integrity0.0100.006
Insufficient payload (model declined to judge)0.0070.002

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 head0.389
GPT teacher head0.545
Teacher spread0.156 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations69
Published2003
Admission routes2
Has abstractyes

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