Bibliographic record
Abstract
Gerry Bennett devoted his professional and much of his personal life to the care of older people. His earliest research was concerned with clinical standards and delays in treatment. From there, and throughout the 1980s, he began to focus on the care of elderly patients, at that time a neglected specialty.specialty. Figure 1 He was appointed a consultant at the London Hospital in 1984. Gerry was one of a handful of campaigning geriatricians who drew attention to the need for high level specialist care and research in that field. His research on pressure ulcers led later to the establishment of the pioneering East London Wound Healing Unit, where Gerry's commitment to an interdisciplinary approach and teamwork was apparent. The four bed unit combined the work of clinical nurse specialists, dermatologists, vascular surgeons, chiropodists, and social workers. As a member of the European advisory panel on pressure ulcers, he was able to influence clinical practice outside the United Kingdom and raise the profile of geriatric medicine internationally. Gerry's work on wounds and injuries, together with his careful attention to patient experiences, led him, in the mid-1980s, to expose the extent of abuse suffered by elderly patients. He campaigned and researched to promote greater understanding of the cause and effects of elder abuse. Again, he took this work worldwide. He was founder chairman and later president of the charity Action on Elder Abuse, and he cofounded the International Network for the Prevention of Elder Abuse (INPEA), with links in Brazil, Canada, Australia, and Spain. Gerry was the main researcher for a World Health Organization sponsored project on elder abuse in Argentina, Austria, Brazil, Canada, India, Kenya, Lebanon, and Sweden. The ensuing report, “Missing Voices,” was published in 2002. This and other work took him, and INPEA, to the United Nations Assembly on Ageing and to contribute to UN investigations into age and gender discrimination and breaches of human rights. In 1995 Gerry became medical director of Tower Hamlets Healthcare NHS Trust. After periods as a visiting professor at the Karolinska Institute and at Queen's University, Belfast, he became professor of health care of the elderly at Barts and the London School of Medicine and Dentistry in 2000. He leaves his lifelong companion, Hywel, and his partner, Tom. Gerald Charles Joseph Bennett, professor of health care of the elderly Barts and the London School of Medicine and Dentistry and former medical director Tower Hamlets Healthcare NHS Trust (b 28 July 1951; q Welsh School of Medicine 1976; FRCP), d 13 April 2003.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".