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Record W2328530187 · doi:10.1177/0008417414534629

Becoming an occupational therapist: Perceived influence of international fieldwork placements on clinical practice

2014· article· en· W2328530187 on OpenAlexvenueaboutno aff
Adriana V. Haro, Brittany P. Knight, Debra Cameron, Stephanie Nixon, Puja Ahluwalia, Emma L. Hicks

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2014
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
FundersHealth Research Board
KeywordsOccupational therapyCompetence (human resources)CurriculumPsychologyMedical educationClinical PracticeMedicineNursingPedagogyPhysical therapySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Many occupational therapy programs have augmented curricula to provide students with opportunities to engage in international fieldwork placements (IFPs). However, limited research exists exploring the perceived influence that IFPs may have on future occupational therapy roles and characteristics. PURPOSE: The purpose of this study is to explore how Canadian occupational therapists who participated in IFPs as students perceive the influence of their IFP experience on their subsequent practice. METHOD: Semistructured interviews were conducted with 20 occupational therapists who participated in IFPs as occupational therapy students. The interview guide was developed based on the Profile of Occupational Therapy Practice in Canada and relevant literature. A directed content analysis was used in conjunction with the DEPICT model of data analysis to guide the analysis process and summarize the results. FINDINGS: Participants described how IFPs nurtured the development of six skills, or active ingredients, which supported the development of competence in occupational therapy roles. IFPs were also perceived as providing a competitive edge. IMPLICATIONS: This study suggests that IFPs shape the development of competence in key practice skills and occupational therapy roles.

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)0.005
metaresearch head score (Gemma)0.004
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 score0.135
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.385
GPT teacher head0.586
Teacher spread0.201 · 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

Citations17
Published2014
Admission routes2
Has abstractyes

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