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Record W3044096579 · doi:10.1177/0008417420941979

Goal Setting Among Experienced and Novice Occupational Therapists in a Rehabilitation Center

2020· article· en· W3044096579 on OpenAlexvenueaboutno aff
Lea Šuc, Andreja Švajger, Urša Bratun

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2020
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyThematic analysisRelevance (law)PsychologyRehabilitationGoal settingFlexibility (engineering)Applied psychologySession (web analytics)Medical educationNursingQualitative researchMedicineSocial psychologyComputer science

Abstract

fetched live from OpenAlex

BACKGROUND.: Collaborative goal setting is an important part of client-centered occupational therapy. However, not all therapists have comparable skills when it comes to setting goals. PURPOSE.: The aim of our study was to explore the experiences of novice and expert occupational therapists who use the Canadian Occupational Performance Measure in the process of goal setting. METHOD.: This study followed a focused ethnography approach. Four beginners and four experienced occupational therapists were interviewed about their experiences with goal setting. We also observed them during a goal setting session. Data were analyzed using thematic analysis. FINDINGS.: The four main themes that emerged from the analysis showed both similarities and differences between novice and experienced therapists, especially in the areas of communication, guidance, and flexibility, as well as dilemmas they were facing. IMPLICATIONS.: Our findings challenge the client-centeredness of the participants and the relevance of work experience when it comes to collaborative goal setting.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.184
GPT teacher head0.483
Teacher spread0.298 · 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

Citations9
Published2020
Admission routes2
Has abstractyes

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