Recommendations from the 4th International Conference on Mass Gatherings Medicine, Saudi Arabia
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
Mass gatherings health is a recently formalized scientific discipline that deals with all aspects of health at mass gatherings (1). The latter are occasions that attract a sufficient number of people to strain the planning and response capabilities of the organizing hosts. Saudi Arabia, with its extensive and prolonged experience in hosting the Hajj mass gathering, was a leader in advancing the global mass gatherings health agenda and the establishment of the mass gatherings health discipline (2). Starting by hosting the 1st International Conference on Mass Gatherings Medicine, entitled “Global Forum on Mass Gathering Medicine”, organized by the Saudi Ministry of Health and the Lancet Infectious Diseases journal (3). The conference took place in Jeddah in 2010 where the “Jeddah Declaration” was adopted at the end of the event. The declaration proposed steps for the formalization of the new discipline of mass gatherings health and called for the establishment of the Global Centre for Mass Gatherings Medicine (GCMGM) in Saudi Arabia, as well as the hosting of regular international conferences on mass gatherings medicine (4).
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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