Call for Educational Abstracts The Third Wave of CME Our Place in Systems Thinking
Bibliographic record
Abstract
The Alliance is the international, non-profit, professional association for continuing medical education (CME) professionals. Its over 2100 members are health care professionals and educators responsible for CME in the United States and Canada, as well as various countries throughout the world. The Alliance’s annual conference is designed to advance its mission of providing professional development opportunities for CME professionals, advocating for CME and the profession, and striving to improve health care outcomes. The theme of the 31st (2006) Annual Conference is The Third Wave of CME: Our Place in Systems Thinking. While the first wave focused on what we (i.e., CME professionals and/or physicians [for which we develop educational opportunities]) needed to know, the second wave stressed how we learn (intermediate level). Many in CME and medicine now recognize that the setting in which our professional development occurs and our practice patterns change is a complex healthcare system (with processes, other health providers, and patients). Thus, the third wave of CME emphasizes where we learn (advanced level). To facilitate that development and change, CME professionals must 1) acknowledge their place in the healthcare system; 2) understand the processes, other health providers, and patients in that system; 3) identify systemic factors that are obstacles to development or change; 4) design educational interventions more likely to change practices and improve outcomes; 5) document those resulting improvements, and 6) share those findings. In line with the conference theme, you are encouraged to submit an educational abstract that relates to one of the three
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 | 0.006 | 0.024 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.012 | 0.013 |
| Insufficient payload (model declined to judge) | 0.485 | 0.281 |
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".