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Designing, Conducting, and Evaluating Journal Clubs in Orthopaedic Surgery

2003· article· en· W2081038388 on OpenAlexaffabout
Douglas R. Dirschl, Paul Tornetta, Mohit Bhandari

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2003
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsMcMaster University
Fundersnot available
KeywordsJournal clubMedicineChecklistAttendanceWorkloadMedical educationCritical appraisalClubAlternative medicineManagementPsychology

Abstract

fetched live from OpenAlex

The first record of a journal club was that founded in 1875 by Sir William Osler at McGill University for the purchase and distribution of periodicals to which he could not afford to subscribe as an individual. Evidence-based medicine is becoming an accepted educational paradigm in medical education at various levels. An analysis of the literature related to journal clubs in residency programs in specialties other than orthopaedic surgery reveals that the three most common goals were to teach critical appraisal skills (67%), to have an impact on clinical practice (59%), and to keep up with the current literature (56%). The implementation of the structured article review checklist has been found to increase resident satisfaction and improves the perceived educational value of the journal club without increasing resident workload or decreasing attendance at the conference. Periodic evaluation of the conference and the institution of appropriate changes ensures that the journal club remains a valuable and successful part of the training program.

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)0.137
metaresearch head score (Gemma)0.080
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1370.080
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.008
Insufficient payload (model declined to judge)0.0010.000

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 head0.683
GPT teacher head0.644
Teacher spread0.039 · 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; both teacher heads agree on what is shown here.

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

Citations98
Published2003
Admission routes2
Has abstractyes

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