An African cardiology summit
Bibliographic record
Abstract
The World Heart Federation (WHF) is the umbrella organization of continental and national cardiac societies and heart foundations globally, reporting to the World Health Organization (WHO). The WHF is dedicated to the global fight against CVD, including heart disease, stroke, and rheumatic heart disease (RHD). Building on the first Global Summit on Circulatory Health, held at the 2016 World Congress of Cardiology and Cardiovascular Health in Mexico City, the second Summit held in Singapore July 2017 focused on building a civil society movement for circulatory health. The WHF African Summit took place in Khartoum, Sudan on the 10–11 October 2017. The Summit was held in conjunction with the Sudan Heart Society Annual Congress, The Pan African Society of Cardiology (PASCAR), and the African Heart Network (AHN). The Summit included more than 100 participants from Africa, Europe, Canada, and Asia among other areas, with active involvement from the members of the PASCAR, Sudanese and many other African Cardiac Societies, European Society of Cardiology, International Hypertension Society, AHN, and other non-governmental groups.
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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.049 | 0.017 |
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".