Bibliographic record
Abstract
We commemorate the sad loss of a true leader in retroviral disease, Professor Joep Lange, former President of the International AIDS Society.Our friend and colleague Joep perished on July 17, 2014 together with his beloved partner Jacqueline van Tongeren, while flying from Amsterdam to the International AIDS Conference in Melbourne aboard Malaysian Airlines flight 17.Joep contributed in compelling fashion to much of the progress accomplished thus far in combatting the HIV epidemic.He lost his life together with Jacqueline and four other individuals on their way to the conference, shot down by killers whose own families and friends might have benefited in the past and may benefit in the future from Joep's many contributions to our field.Joep was pivotally involved from the earliest days of antiretroviral therapy, helping devise the important strategies for combatting HIV infection that continue to be employed today.Together with Jaap Goudsmit, Frank Miedema, and Roel Coutinho, he played a key role in establishing the multidisciplinary group of investigators in Amsterdam that pioneered much of our understanding today of HIV and its disease course.They established well-characterised cohorts of HIV-positive people and those at higher risk of HIV exposure, sought to understand transmission dynamics, and helped elucidate HIV pathogenesis, progression to AIDS, and the benefits of early treatment.From the mid-1980s onwards, the Dutch group made immense contributions to the field and it did not take long for Joep to begin to translate the insights gained in Amsterdam into strategies to ameliorate the burden of AIDS in Africa.He began his career at the University of Amsterdam, receiving his MD in 1981 and PhD in 1987.From 1992 to 1995, he was Chief of Clinical Research and Drug Development at the Global Programme on AIDS at the World Health Organization in Geneva.Joep played a key role at WHO during the time that the spread of HIV was proceeding virtually unabated and when very few antiretroviral drugs were available.He advocated passionately for
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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 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.012 |
| Insufficient payload (model declined to judge) | 0.235 | 0.182 |
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".