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Record W2945306385 · doi:10.1080/07380577.2019.1616241

Predictors to Private Practice Occupational Therapy Fieldwork Opportunities in Canada: New Evidence suggests New Solutions

2019· article· en· W2945306385 on OpenAlexaffabout
Behdin Nowrouzi‐Kia, D Barker, Susan Rappolt, Tricia Morrison

Bibliographic record

VenueOccupational Therapy In Health Care · 2019
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of OttawaLaurentian UniversityUniversity of Toronto
Fundersnot available
KeywordsOutreachOccupational therapyPrivate practiceCompensation (psychology)Work (physics)Medical educationPrivate sectorMedicineNursingPsychologyFamily medicinePhysical therapyPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

The study examined predictors to increasing and enhancing fieldwork education opportunities provided by occupational therapists working in private practice. A cross-sectional design that used a self-administered questionnaire was provided to Canadian occupational therapists in private practice. Participants receiving funding from the workers' compensation sector, those with between 11 and 20 years of work experience, and therapists working full-time hours were more likely to accept a student in fieldwork placement. Respondents who indicated that physical space and resources were not barriers to taking students on placement were more likely to accept students. Therapists more comfortable with the criteria and methods for appropriate and effective student teaching and supervision were also more likely to accept a student for fieldwork placement. The study findings can inform academic programs on how best to support preceptorship and guide university fieldwork coordinators' strategies for outreach and education for private practitioners.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.222
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.342
GPT teacher head0.503
Teacher spread0.161 · 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

Citations3
Published2019
Admission routes2
Has abstractyes

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