The Journal Club 3.0: A qualitative, multisite study examining a new educational paradigm in the era of open educational resources
Bibliographic record
Abstract
BACKGROUND: The journal club is a ubiquitous and time-honored tradition within medical education. However, in recent years, open educational resources (OERs) have become increasingly influential in how physicians interact with the medical literature across multiple specialties. The authors sought to explore how emergency medicine (EM) resident physicians reconcile different perspectives across OERs into their educational experience at the journal club. METHODS: From January 2018 to September 2019, the authors enrolled 25 EM residents from four teaching sites associated with the University of British Columbia, Canada, to participate in either a focus group (seven residents) or individual interviews (18 residents). The authors used a snowball sampling technique. Using a constructivist grounded theory analysis, two investigators independently reviewed transcripts, meeting regularly to discuss themes until sufficiency was achieved. RESULTS: The study data expand the theoretical understanding of the resident journal club experience. Residents used multiple sources including OERs to learn about new evidence in the specialty. The rise of OERs helped residents to focus on developing critical appraisal skills and social bonds during the journal club. The local journal club gained a new relevancy in acting as a quality control mechanism against the premature adoption of research findings discussed in OERs. DISCUSSION: To date, most educators assume that residents prepare for a journal club by reading the selected articles and applying knowledge from their previous education. Instead, our findings suggest a more dynamic experience that integrates OERs. OERs enhance the journal club experience by allowing junior residents to more easily participate in discussions and to broaden the discussion to multiple clinical settings. Understanding these processes could inform future educational strategies around the journal club.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.029 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.015 | 0.014 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".