Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Greetings to all as we embark upon the last weeks of 2017! This fall has been a busy time for JCIPE in many different ways. At the end of September, thirteen JCIPE staff, faculty and students attended the Collaborative Practice conference held in Banff, Alberta, Canada. JCIPE delivered one invited pre-conference workshop and five peer-reviewed, accepted live presentations focusing on a wide range of our activities including Hotspotting, the Health Mentors Program, the Jefferson Teamwork Observation Guide (JTOG) and programmatic sustainability. We learned a lot relative to new program ideas, assessment suggestions and faculty development - just to name a few things garnered while in Banff that we're excited to bring back to Jefferson. We are currently beginning preparations for our sixth hosted conference, 2018 Interprofessional Care for the 21st Century that will take place on Jefferson's campus on October 26 and 27, 2018. Save the date!
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it