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Record W2125187511 · doi:10.1098/rsbm.2011.0015

Charles Henry Brian Priestley. 8 July 1915 — 18 May 1998

2011· article· en· W2125187511 on OpenAlexaboutno aff
J. R. Garratt, E. K. Webb, Sawyer McCarthy

Bibliographic record

VenueBiographical Memoirs of Fellows of the Royal Society · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCommonwealthSpellWork (physics)Scale (ratio)MeteorologyOperations researchUnit (ring theory)HistoryManagementGeographySociologyEngineeringPsychologyArchaeologyCartographyMathematics educationMechanical engineeringEconomics

Abstract

fetched live from OpenAlex

Abstract Charles Henry Brian Priestley was born and educated in England. After completing the Mathematical Tripos at the University of Cambridge, he joined the Meteorological Office in 1939. For the next seven years he was engaged mostly in wartime work, including a two-year spell in Canada (1941–43) and three years with the Meteorological Office upper-air unit at Dunstable, UK (1943–46). In 1946, aged 31 years, he took up an Australian appointment with the Council for Scientific and Industrial Research (later to become the Commonwealth Scientific and Industrial Research Organization (CSIRO)) to establish and develop a group to undertake research in meteorological physics. Thereafter he was based in Melbourne, Australia, with his career in the CSIRO extending to 1977. Priestley’s own early research focused on large-scale atmospheric systems, including substantial work on global-scale transport, and later on small-scale atmospheric convection and heat transfer, in which he established some significant results. He had a leading role in the development of the atmospheric sciences in Australia, and was strongly involved in international meteorology.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.232
Threshold uncertainty score0.776

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2320.135

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 head0.025
GPT teacher head0.199
Teacher spread0.174 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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Same venueBiographical Memoirs of Fellows of the Royal SocietySame topicGeological and Geophysical StudiesFrench-language works237,207