Brigitte Alice Askonas. 1 April 1923—9 January 2013
Bibliographic record
Abstract
Brigitte Alice (Ita) Askonas, immunologist and biochemist, was born in Vienna to Czech parents. After an undergraduate degree in Biochemistry at McGill University, Montreal, and a life changing experience as a PhD student in the Department of Biochemistry, University of Cambridge, UK, she spent 36 years at the National Institute for Medical Research (NIMR) where she was a founding member of the Division of Immunology there, eventually becoming its head in 1976 until her formal retirement in 1988. Thereafter, until her death 25 years later, she continued to take an active interest in immunology research, advising scientists at all levels and especially in training young scientists, ensuring they were not mistreated, ignored or not properly acknowledged. Her influence came from her six decades of active involvement in research into many aspects of immunology, studying antibody production, the role of macrophages in antigen recognition and immunosuppression and the role of T lymphocytes in viral infection. This unusually wide experience supported by her biochemical training underlay her reputation for rigour in scientific experimentation, eye for detail and an exacting memory. She was renowned as a scientific mentor and many high-profile scientists learnt their craft in her laboratory and were introduced there into areas of immunology where they subsequently became well known. She was simultaneously very critical and a really good friend who looked after people. She had an exceptionally generous attitude to publication and was thoughtful in many personal ways. She especially valued friends and colleagues who amused her, a quality obvious from her earliest days until the very end of her life.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".