Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Ann Woolcock graduated in medicine from the University of Adelaide and pursued postgraduate studies in respiratory medicine with Professor John Read at the University of Sydney. Her MD thesis, awarded in 1967, was on the mechanical behaviour of the lungs in asthma. From 1966 to 1968 she worked with Professor Peter Macklem at McGill University in Canada, then returned to the University of Sydney to continue researching asthma. Her work in asthma and epidemiology showed that asthma was caused by allergens but that there is a genetic component. Her clinical research was a major contribution to better outcomes in asthma, in particular, the demonstration and practical measurement of airway hyperresponsiveness and her subsequent research that examined its contribution to asthma severity and the ways in which treatments were able to reduce it. In 1989 she wrote, with others, the world's first national guidelines for asthma management, the Australian Asthma Management Plan. In 1984, she was appointed to a personal chair of Respiratory Medicine at the University of Sydney. She founded the Institute of Respiratory Medicine in 1985, based at Sydney's Royal Prince Alfred Hospital. After her death, the Institute was renamed the Woolcock Institute of Medical Research in her honour.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it