Videoconferencing for Continuing Medical Education: From Pilot Project to Sustained Programme
Bibliographic record
Abstract
Videoconferencing has been used to provide distance education for medical students, physicians and other health-care professionals, such as nurses, physiotherapists and pharmacists. The Dalhousie University Office of Continuing Medical Education (CME) has used videoconferencing for CME since a pilot project with four sites in 1995-6. Since that pilot project, videoconferencing activity has steadily increased; in the year 1999-2000, a total of 64 videoconferences were provided for 1059 learners in 37 sites. Videoconferencing has been well accepted by faculty staff and by learners, as it enables them to provide and receive CME without travelling long distances. The key components of the development of the videoconferencing programme include planning, scheduling, faculty support, technical support and evaluation. Evaluation enables the effect of videoconferencing on other CME activities, and costs, to be measured.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".