World Federation of Haemophilia Programs in Developing Countries
Bibliographic record
Abstract
The World Federation of Haemophilia (WFH) is a global not-for-profit organization devoted to furthering the treatment of hemophilia and related disorders. Founded in Montreal in 1963, it has grown tremendously during the last 40 years and now has 107 National Member Organizations and has been recognized by the World Health Organization. The mission of the WFH is to introduce, improve, and maintain care for patients with hemophilia and related disorders. Several specific programs may be used as tools to achieve these goals. The WFH organizes regular educational workshops on key aspects of hemophilia care. Fellowships are offered to approximately 30 healthcare professionals each year that provide funding for a period of study of up to 8 weeks at an International Hemophilia Training Center of their choice. The WFH twinning program helps emerging hemophilia treatment centers develop partnerships with well-established centers. Although the ultimate goal of the WFH is to promote sustainable hemophilia treatment in developing countries, donations of concentrate are regularly made through the Humanitarian Aid program. The WHF launched the Global Alliance for Progress in its 40th anniversary year, establishing a partnership between the WFH and other stakeholders, including the pharmaceutical industry. The aim is to focus on 30 to 40 developing countries during the next 10 years, aiming to more than double the number of patients diagnosed with hemophilia in those countries. The WFH is also involved in fostering discussion on key issues such as safety and supply of blood products.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.008 |
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".