Jefferson Makes a Major Contribution to Collaborating Across Borders, IV Conference
Bibliographic record
Abstract
The fourth international Collaboration Across Borders conference (CAB IV) was held in Vancouver BC, Canada on June 12‐14, 2013. This conference, held every two years, attracts people involved in interprofessional education and care (IPEC) from across North America, and from other countries such as Japan, Australia and the European Union. The conference is a collaborative venture between the American Interprofessional Health Collaborative (AIHC) and the Canadian Interprofessional Health Collaborative (CIHC). The site of the conference alternates between the United States and Canada. As interest and involvement in interprofessional approaches to education and health care grows, so too does attendance at this meeting. The �irst conference, held at the University of Minnesota in 2007, attracted a little over 300 people. Subsequent meetings in Nova Scotia and Arizona saw attendance increase dramatically, reaching close to 750 in Arizona. This was the largest attendance ever at a conference devoted to interprofessional education. Attendance at the Vancouver conference exceeded that number.
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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 | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.048 | 0.020 |
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".