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Record W2039347707 · doi:10.2182/cjot.2011.78.1.5

Facilitating Student Occupational Therapists' Mastery of Occupation-Centred Approaches for Working with Children

2011· article· en· W2039347707 on OpenAlexvenueno aff
Jodie Copley, Sylvia Rodger, Fiona Graham, Victoria A. Hannay

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2011
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyPsychologyMedical educationMedicinePhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Student occupational therapists experience particular challenges in the learning and practicing of occupation-centred practice (OCP) techniques with children. PURPOSE: This study aimed to identify factors that facilitate mastery of OCP from both students' and practice educators' perspectives. METHODS: Nine student occupational therapists and two practice educators participated in three interviews at intervals across the students' fieldwork experiences. Observation and document review assisted data triangulation. FINDINGS: Students experienced distinct turning points in their understanding and use of OCP after encountering challenges and then experiencing success. Factors that assisted students' mastery of OCP included modelling and practice opportunities; individualised, performance-specific debriefing; specific learning and teaching styles; and structured learning tools for observation and reporting. IMPLICATIONS: Key quality teaching and learning practices can be used by practice educators and universities to promote mastery of OCP approaches. Further opportunities for practice and guided reflection on OCP are needed.

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)0.000
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.597
GPT teacher head0.469
Teacher spread0.128 · 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

Citations16
Published2011
Admission routes1
Has abstractyes

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