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The World Federation of Hemophilia: 40 years of improving haemophilia care worldwide

2003· review· en· W2045845692 on OpenAlexaffabout
Peter B. Jones, Line Robillard

Bibliographic record

VenueHaemophilia · 2003
Typereview
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsCanadian Hemophilia Society
Fundersnot available
KeywordsHaemophiliaMedicineCoachingDeveloping countryAllianceFamily medicinePediatricsEconomic growthPolitical scienceManagementLaw

Abstract

fetched live from OpenAlex

In 2003, the World Federation of Hemophilia marks its 40th anniversary. Established in 1963 by Frank Schnabel, a person with hemophilia from Montreal, Canada, the WFH has grown into its role as an independent, not-for-profit representative of the global haemophilia community. Since then, its biannual world congresses have provided an opportunity to exchange information on research and treatment. Today, more than 3,000 delegates attend these congresses. Until the early 1990s, the WFH's other major function was the International Hemophilia Training Centre programme, offering training fellowships and workshops to medical and paramedical staff from developing countries. In 1982, AIDS was reported in people with haemophilia who had received tainted blood products. The WFH developed task forces and committees to monitor safety and supply issues and set up the Global Forum on the Safety and Supply of Treatment Products. In the mid-1990s, twinning programmes were established for treatment centres and national haemophilia organizations. Twinning facilitates the exchange of training, coaching, and expertise. In the late 1990s, the WFH expanded and began working with local organizations and health authorities in a number of countries to improve the diagnosis and care of persons with hemophilia. The federation currently has ongoing projects in 25 developing countries. On World Hemophilia Day, April 17, 2003, the WFH launched the Global Alliance for Progress (GAP) in haemophilia which aims to double the number of people with haemophilia diagnosed and receiving treatment in up to 40 developing countries over a 10-year period.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.050
GPT teacher head0.352
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations18
Published2003
Admission routes2
Has abstractyes

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