IJAGR at the International Medical Symposium Geography 2022 Edinburgh, Scotland
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
Donald Albert (co-Editor-in-Chief) from Sam Houston State University and Dhitinut Ratnapradipa (Associate Editor) from Creighton University participated in the 19th International Medical Symposium Geography (IMGS) from June 19-June 24, 2022, in Edinburgh, Scotland. The event operated out of the Royal College of Surgeons located in the Old Town of Edinburgh. This historic venue provided an appropriate setting to contemplate patterns of health and disease. Jamie Pearce and Niamh Shortt (University of Edinburgh) were co-Chairs of the IMGS 2022. The authors' poster abstract was entitled, “The International Journal of Applied Geospatial Research: Temporal Metrics and Coverage of Medical Geography, 2010-2021.”
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it