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A Teaching Unit in Primary Care Sports Medicine for Family Medicine Residents

2001· article· en· W2009098143 on OpenAlexaff
Alan Vernec, Ian Shrier

Bibliographic record

VenueAcademic Medicine · 2001
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsUnit (ring theory)MedicineSports medicineFamily medicineTeaching hospitalPopulationMedical educationPhysical therapyPsychology

Abstract

fetched live from OpenAlex

The authors describe their experience in setting up a sports medicine teaching unit within a family practice center of a teaching hospital. The unit's patient population more closely resembles that of a typical family practice than that of a traditional musculoskeletal teaching clinic (e.g., orthopedics, emergency room). The teaching program includes direct observation of residents performing history taking and physical examinations through one-way mirrors, close supervision for each case, and a sports therapist who educates patients and residents about home exercise programs when physiotherapy within private clinics is not necessary or affordable. At the end of each session 20-30 minutes are devoted to teaching specific physical examination skills. The authors describe how their clinic interacts with other services within the hospital and how certain obstacles they encountered when setting up the clinic might be avoided by others. They feel that this type of unit complements other existing programs in the family medicine department and provides an excellent learning experience for family medicine residents, who are likely to see a high proportion of patients with muskuloskeletal injuries in their practices.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.031
GPT teacher head0.353
Teacher spread0.322 · 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

Citations4
Published2001
Admission routes1
Has abstractyes

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