Highlights of a Symposium, Malaria: Where are we Today, Where are weGoing?
Bibliographic record
Abstract
Malaria continues to pose a major public health threat in endemic areas. However, times are changing, and many investments have been made in recent years into funding of malaria research, the development of more and improved control tools, and applying those to the field. Consequently, there is a renewed interest in going as far as considering the prospects of malaria elimination on a global scale. This goal cannot be reached without optimising and combining biotechnical, economical and social anthropological aspects. A symposium held on 25 January 2011 in Amsterdam, the Netherlands, organised by the Amsterdam Institute for Global Health and Development, the Center for Infection and Immunity Amsterdam and the Academic Medical Center of the University of Amsterdam, focused on malaria and the malERA eradication program, summarizing the state of the art in malaria control and beyond, and offering insight into the various possible ways forward. This manuscript summarizes the information presented and the ensuing discussions.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.024 | 0.011 |
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".