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Record W1978374459 · doi:10.3138/ptc.2012-18

Dissemination of Student Research in a Canadian Master of Science in Physical Therapy Programme

2013· article· en· W1978374459 on OpenAlexaffvenueabout
Nancy M. Salbach, Kelly K. O’Brien, Cathy Evans, Karen Yoshida

Bibliographic record

VenuePhysiotherapy Canada · 2013
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedical educationMedicinePhysical therapyComputer science

Abstract

fetched live from OpenAlex

PURPOSE: To determine the extent of presentation and publication, as well as time to publication, of student research completed as a component of a Master of Science in Physical Therapy (MScPT) degree at a Canadian university. METHOD: The authors conducted a retrospective cross-sectional study of MScPT research projects completed between 2003 and 2009, each undertaken by a group of MScPT students who carried out protocol development, ethics submission, data collection, analysis, and manuscript and poster preparation under the supervision of research advisors. Research advisors were e-mailed a request for citations of presentations and publications. RESULTS: Advisors from 102 of 113 research projects completed from 2003 through 2009 provided information, for a response rate of 90.3%. Of the 102 groups, 53.9% disseminated findings through publication or presentation, 33.3% presented at one or more conferences, and 30.4% published at least one peer-reviewed journal article. Median time to publication was 21 months. Almost half the journal articles (47%) were published in Physiotherapy Canada. CONCLUSIONS: MScPT student research groups are disseminating their findings through publication or presentation at a moderate rate. Investigation of factors influencing dissemination is needed to develop strategies to facilitate knowledge transfer.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.225
GPT teacher head0.575
Teacher spread0.351 · 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
Published2013
Admission routes3
Has abstractyes

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