Library instruction in medical education: a survey of current practices in the United States and Canada
Bibliographic record
Abstract
OBJECTIVE: The most recent survey on instruction practices in libraries affiliated with accredited medical institutions in the United States was conducted in 1996. The present study sought to update these data, while expanding to include Canadian libraries. Additional analysis was undertaken to test for statistically significant differences between library instruction in the United States and Canada and between libraries affiliated with highly ranked and unranked institutions. METHODS: A twenty-eight-question survey was distributed to libraries affiliated with accredited US and Canadian medical schools to assess what and how often librarians teach, as well as how librarians are involved in the curriculum committee and if they are satisfied with their contact with students and faculty. Quantitative data were analyzed with SAS, R, and MedCalc. RESULTS: Most of the seventy-three responding libraries provided instruction, both asynchronously and synchronously. Library instruction was most likely to be offered in two years of medical school, with year one seeing the most activity. Database use was the most frequently taught topic, and libraries reported a median of five librarians providing instruction, with larger staffs offering slightly more education sessions per year. Libraries associated with highly ranked schools were slightly more likely to offer sessions that were integrated into the medical school curriculum in year four and to offer sessions in more years overall. CONCLUSIONS: In US and Canadian libraries, regardless of the rank of the affiliated medical school, librarians' provision of instruction in multiple formats on multiple topics is increasingly common.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".