PARASITIC DISEASES PROCEEDINGS OF THE THIRD INTERNATIONAL AND PAN-ARAB SEMINAR
Bibliographic record
Abstract
and technology to the need-, of developing countries. The Centre'-, activity i., concentrated in six-.ector<,: agriculture, food and nutrition sciences: health sciences: information science'>; social sciences: earth and engineering sciences: and com-munications. IDRC is financed solei\\ · bv the Parliament of Canada; its policies. howe \\ er. are set by an international Board of Gm ernors. The Centre's headquarters are in Ottawa, Canada. Regional offices arc located in Africa, A-,ia. Latin America. and the l\\1iddle East. Le Centre de recherche;; pour le devcloppement international. 'iocictc publique crece en 1970 par une loi du Parlement canadien, a pour mi'>sinn d'appuyer de.s recherches visant a adapter Ia science et Ia technologic aux be;;oim de'> pays en developpement; il concentre son acti\\ite dam..,i, 'ecteur-.: agriculture, alimenta-tion et nutrition; information; sante: science-. sociale-.;-,ciences de Ia terre et du genie et communicatiom. Lc CRDI e-.r finance enticrement par le Parlcment cana-dien, mais c'est un Comeil des gomerneur'> international qui en determine!'orien-tation et les politiques. Etabli a Ottawa (Canada). il a des bureaU \\ rcgionaux en
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.206 | 0.046 |
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".