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Record W1973017717 · doi:10.1080/01642120903515292

Are We Really Client-Centered? Using the Canadian Occupational Performance Measure to See How the Client's Goals Connect With the Goals of the Occupational Therapist

2010· article· en· W1973017717 on OpenAlexaboutno aff
Lynne Richard, Laurie Knis-Matthews

Bibliographic record

VenueOccupational Therapy in Mental Health · 2010
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyIntervention (counseling)PsychologyResidenceMental healthApplied psychologyTheme (computing)NursingPsychotherapistMedicineComputer sciencePsychiatrySociology

Abstract

fetched live from OpenAlex

The Canadian Occupational Performance Measure was used as a tool to compare goals for intervention identified by seven clients living in a long-term residential program and diagnosed with schizophrenia, with their goals as identified by the occupational therapist. In-depth interviews were conducted in conjunction with the use of the Canadian Occupational Performance Measure. Data analysis revealed an overarching theme that described the clients' concerns as, “I want to accomplish goals outside of the residence program.” During the analysis, however, the data revealed that the occupational therapist primarily focused her attention on goals to be achieved within the residence program, emphasizing programming and symptom management as each client's priorities for intervention, rather than community involvement. The findings reveal how data from the Canadian Occupational Performance Measure was used to reveal client/therapist disconnect in goal setting and the need to continue to examine client-centered practices in mental health settings.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.183
GPT teacher head0.461
Teacher spread0.277 · 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 teacher head, not a consensus.

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

Citations18
Published2010
Admission routes1
Has abstractyes

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