Meeting report: The Systemic Lupus International Collaborating Clinics (SLICC) World Lupus Seminar on Africa
Bibliographic record
Abstract
The Systemic Lupus International Collaborating Clinics (SLICC) is an international research group dedicated to promoting collaboration among scientific investigators in the study of systemic lupus erythematosus (SLE). Currently, most SLICC members are based in North America and Europe, with limited representation from other regions. SLICC recognises the importance of expanding its global collaborations and representation to ensure that its research accurately reflects the global burden of SLE and provides equal benefit to all patients with SLE worldwide. Given that SLICC currently lacks representation from the African continent, an opportunity was identified to convene a meeting bringing together lupus physicians with experience providing clinical care and conducting lupus research in Africa, along with members of the SLICC group. The purpose of the meeting was to share information regarding SLE in Africa, to discuss recent innovations and current challenges in the region and to explore future collaborations between SLICC members and colleagues in Africa in the areas of SLE clinical care, research and education. This meeting report highlights information presented during the seminar as well as a discussion of next steps moving forward.
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 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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".