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Record W2162418293 · doi:10.1177/000841740206900205

Collaborative Fieldwork Education with Student Occupational Therapists and Student Occupational Therapist Assistants

2002· article· en· W2162418293 on OpenAlexafffundvenue
Bonny Jung, Sandy Sainsbury, Rosa Maria Grum, Seanne Wilkins, Joyce Tryssenaar

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2002
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsMcMaster University
FundersMinistère de l’Éducation, Gouvernement de l’OntarioMcMaster University
KeywordsOccupational therapyGeneral partnershipMedical educationVariety (cybernetics)Resistance (ecology)PsychologyPhysical therapistMedicineNursingPhysical therapyPolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

The profession of occupational therapy has a long history of working collaboratively with support personnel. This paper describes the process of a fieldwork education partnership developed between the McMaster University, BHSc (OT) Program and the Mohawk College, Occupational Therapist Assistant and Physical Therapist Assistant Program. Eight student occupational therapists and eight student occupational therapist assistants learned together in a variety of fieldwork settings, either in pairs or in groups. Both groups of students kept weekly journals of the experience and completed a post placement questionnaire. The journals were inductively analysed using a retrospective content analysis. The four emergent themes identified from the data are learning about each other's role, collaborative learning, impact on client care and future practice, and resistance to roles. Recommendations for future collaborations are discussed.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient 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 score0.060
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
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.199
GPT teacher head0.511
Teacher spread0.311 · 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

Citations23
Published2002
Admission routes3
Has abstractyes

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