Raising awareness globally for women with inherited bleeding disorders: World Federation of Hemophilia Symposium
Bibliographic record
Abstract
Abstract Figures in the World Federation of Hemophilia (WFH) global annual survey indicate, by their absence, that there is under-recognition of bleeding disorders in women. The WFH and its national member organisations (NMOs) are working to raise awareness and improve the diagnosis of care of women with bleeding disorders globally, regionally and locally. WFH initiatives include a global programme focused on improving the diagnosis, care and treatment of women with von Willebrand disease (VWD), and programmes involving education and training in conjunction with NMOs in countries including Honduras and Malaysia. NMOs in Slovakia, Latvia and Sweden describe their local activities. The Slovak Hemophilia Society is in the process of establishing a Women’s Committee and considers peer support and network building as essential tools in addressing the issues faced by women with bleeding disorders. In Latvia, access to resources is difficult and von Willebrand factor is not available. There is concern in the Latvia Hemophilia Society that the fundamental human right of access to healthcare is not being met. It supports WFH initiatives through education and advocacy, and believes that the voices of women with bleeding disorders will be better heard through working together. The Swedish Hemophilia Society’s Women’s Project has worked since 2006 to promote better care for women with bleeding disorders and to raise public awareness. Despite resistance, their campaign to increase the identification of girls and women with VWD, improve diagnosis and care, and raise awareness has been well received by healthcare professionals and has had extensive media coverage.
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".