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Record W4283696007 · doi:10.1098/rsbm.2021.0039

Simon Hugh Piper Maddrell. 11 December 1937—10 September 2020

2022· article· en· W4283696007 on OpenAlexaffabout
Helen Skaer, Michael J. O’Donnell, Julian A. T. Dow

Bibliographic record

VenueBiographical Memoirs of Fellows of the Royal Society · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsMcMaster University
Fundersnot available
KeywordsWifeHistoryZoologyLibrary scienceClassicsBiologyLawComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Simon Maddrell transformed our understanding of how insects regulate their internal environments, a major determinant of their extraordinary success. Raised during wartime on his family's farm, Simon was a grammar school scholar at St Catharine's College, Cambridge, where he obtained the top first of his year in zoology. A keen sportsman, he combined his studies with half-Blues in table tennis and athletics. After a PhD under the supervision of Sir Vincent Wigglesworth FRS, he took a fellowship at Dalhousie University in Canada. He returned to Cambridge as a fellow of Gonville and Caius College, and took up a post in the AFRC Unit housed in the Department of Zoology. His academic work focused on the insect kidney, or Malpighian tubule. He unravelled details both of the mechanisms of secretion of fluids, ions and toxins, and of their control by the nervous system. His favoured organism was the blood-sucking ‘kissing bug’, Rhodnius prolixus , which demonstrated remarkable adaptations to handle massive (but irregular) blood meals. Later he also studied the classic genetic model insect Drosophila melanogaster , helping to lay the framework for combined physiological and genetic approaches in the same organism. Outside the lab, his massive energy and financial skills were potent influences on the Company of Biologists, a charity publishing scientific journals. Living increasingly in the family seat on the Isle of Man, he also brought his perfectionism to bear on daffodil shows and woodland tree planting. He is survived by his wife and four children.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.009
GPT teacher head0.208
Teacher spread0.199 · 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
GenreEmpirical

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

Citations0
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueBiographical Memoirs of Fellows of the Royal SocietySame topicPhysiological and biochemical adaptationsFrench-language works237,207