Origin and history to date of the World Association for the Advancement of Veterinary Parasitology (WAAVP) African Foundation
Bibliographic record
Abstract
The origin of the World Association for the Advancement of Veterinary Parasitology (WAAVP) African Foundation is described. The 16th WAAVP Conference held in South Africa in 1997 generated a surplus of ZAR 430 460 (US$ 70 116). This was invested and a foundation established to manage the fund with the intention of using it to the mutual advantage of the WAAVP and African veterinary parasitologists. To date, more than 110 scholarship applications have been screened, and 51 full and partial scholarships awarded to young African veterinary parasitologists to attend subsequent biennial WAAVP Conferences. This investment has grown into a very successful endowment currently valued at US$ 206 553. This article is written in response to many queries across the globe about the origin of this fund and how it has been invested, managed, sustained and utilised.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.038 | 0.012 |
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".