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Record W2766945524 · doi:10.1080/09593985.2017.1375056

Exploring the teaching and learning of clinical reasoning, risks, and benefits of cervical spine manipulation

2017· article· en· W2766945524 on OpenAlexaff
Katie Yamamoto, Luca Condotta, Chloe Haldane, Sahar Jaffrani, Victoria Johnstone, Patrick Jachyra, Barbara E. Gibson, Euson Yeung

Bibliographic record

VenuePhysiotherapy Theory and Practice · 2017
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of TorontoToronto Rehabilitation InstituteMcMaster UniversityHolland Bloorview Kids Rehabilitation HospitalAthletic Edge Sports Medicine
Fundersnot available
KeywordsCertificationMentorshipMedical educationContext (archaeology)MedicineClinical PracticePsychologyPhysical therapy

Abstract

fetched live from OpenAlex

The aim of this study was to examine how risks and benefits of cervical spine manipulation (CSM) were framed and discussed in the context of mentorship and their impact on the perception of safe practice of CSM in clinical physiotherapy settings. A multi-method qualitative approach was employed, including a document analysis of established educational guidelines, observations of mentoring sessions, and individual face-to-face interviews with five mentees in the process of learning CSM, and four mentors with Orthopedic Manual Physical Therapy (OMPT) certification. Results demonstrated that participants' clinical decision-making processes to perform CSM were primarily oriented to the mitigation of risk. Achieving proficiency in the "science" of clinical reasoning and the "art" of "feel" related to mastering technical skills were viewed as means to mitigating risk and enhancing confidence to use CSM safely in clinical practice. While the "art" of technical skill mastery was of high importance to mentees and considered important to developing competency in performing CSM, it was discussed as distinct from their clinical reasoning processes. Thus, promoting a more balanced and integrated use of the "art" and "science" of safe practice for CSM in OMPT training may result in greater confidence and judicious use of CSM by physiotherapists.

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)0.006
metaresearch head score (Gemma)0.008
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 score0.941
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.008
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 integrity0.0000.000
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 head0.127
GPT teacher head0.440
Teacher spread0.313 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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