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Record W2073334069 · doi:10.3138/physio.61.4.234

Postgraduate Physiotherapy Training: Interest and Perceived Barriers to Participation in a Clinical Master's Degree Programme

2009· article· en· W2073334069 on OpenAlexaffvenueabout
Meena M. Sran, Sue Murphy

Bibliographic record

VenuePhysiotherapy Canada · 2009
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsB.C. Women's Hospital & Health CentreUniversity of British Columbia
Fundersnot available
KeywordsMedicinePopulationMedical educationAppealDegree (music)Physical therapyOccupational therapyFamily medicineNursing

Abstract

fetched live from OpenAlex

PURPOSE: To (1) assess whether physiotherapists in a large Canadian province support the offering of a clinical master's degree programme; (2) identify what sector of this population is interested in participating in a clinical master's degree programme; (3) identify the most common personal/professional reasons for enrolling; (4) identify the type of programme that would appeal; and (5) assess barriers to participation in such a programme. METHODS: The survey and accompanying cover letter explaining the study were sent by postal mail to all 2,552 physiotherapists registered with the College of Physical Therapists of British Columbia (CPTBC). RESULTS: The response rate was 17%; 90% of respondents support offering this type of physiotherapy degree in BC, and 14% reported that they were likely to enrol. Orthopaedics/manual therapy (41%) was the clinical area of most interest. CONCLUSIONS: There is strong support for a clinical master's degree in orthopaedic manual therapy in BC. There is greater support for a part-time programme with an inter-professional component, using a combination of e-learning and classroom teaching to reduce travel time and time away from family.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.290
GPT teacher head0.532
Teacher spread0.243 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations22
Published2009
Admission routes3
Has abstractyes

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