Journal clubs--knowledge sufficient for critical appraisal of the literature?
Bibliographic record
Abstract
Sir James Paget, reflecting on his experiences at St Bartholomew’s Hospital in London during 1835 - 1854, noted: ‘Some of the self-select of the pupils, making themselves into a kind of club, had a small room over a baker’s shop near the Hospital’s gate where we could sit and read the journals’. \nSir William Osler started his journal club at McGill University, Montreal, more than 100 years ago in 1875. \nJournal clubs operate in all health science faculties in South Africa. They provide a unique opportunity not only to highlight the latest research but also to teach the principles \nand practice of evidence-based medicine. Critical appraisal of the literature requires the reader to be familiar with the rules \nof validity as well as the interpretation of research results. The three historical goals of a journal club should be to ‘keep up’ \nwith the literature, to improve clinical practice, and to promote critical reading skills.
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 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 | 0.244 | 0.632 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.017 | 0.006 |
| Science and technology studies | 0.016 | 0.031 |
| Scholarly communication | 0.053 | 0.046 |
| Open science | 0.007 | 0.024 |
| Research integrity | 0.014 | 0.021 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".