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Record W2139320805 · doi:10.1080/01421590701477415

Revisiting the journal club

2007· article· en· W2139320805 on OpenAlexaff
Marie‐Thérèse Cave, D. Jean Clandinin

Bibliographic record

VenueMedical Teacher · 2007
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsJournal clubClubMEDLINEPsychologyMedicineMedical educationPolitical scienceLawAnatomy

Abstract

fetched live from OpenAlex

BACKGROUND: Recent descriptions of journal clubs identify their purpose as reading current medical literature, critically appraising it for validity and applicability to the readers' patient population, and distilling the best available clinical evidence. A clinical problem or question from practice within a discipline is identified, and relevant literature is selected and critically appraised. The process addresses the first tenet of evidence-based medicine; that is, gathering the best evidence from research data, but there is little information about when and how the second and third tenets (namely, incorporating individual clinician's expertise and individual patient's perspective) are addressed. AIMS: The study aim was to explore the value, for physician-learners, of reading physician-authored books within the context of an ongoing conversation group. This paper draws on the results of a year-long study with a group of medical students, residents, and novice physicians who read physician-authored books about their practice areas and subsequently met in a conversation group. DESCRIPTION: The study process facilitated learning around two neglected tenets of evidence-based medicine: the integration of clinical expertise, and incorporating patients' perspectives into clinical decision-making. It also fulfilled an earlier purpose of journal clubs, namely the fostering of collegiality and the development of professional identity in physicians. CONCLUSION: This study shows the value of reading a type of medical literature that is different, but complementary, to the kind read in contemporary journal clubs.

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)0.035
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0350.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0200.001

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 head0.202
GPT teacher head0.569
Teacher spread0.367 · 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 designNot applicable
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

Citations26
Published2007
Admission routes1
Has abstractyes

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