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Record W1258188159

African Naturalist: The Life and Times of Rodney Carrington Wood 1889-1962

2011· article· en· W1258188159 on OpenAlexaboutno aff
John Mackenzie

Bibliographic record

VenueAfrican Research & Documentation · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Biodiversity
Canadian institutionsnot available
Fundersnot available
KeywordsAmateurEmpirePassionsMemoirHistoryEliteEconomic historyAncient historyLawArchaeologyArt historyPoliticsArtPolitical science
DOInot available

Abstract

fetched live from OpenAlex

African Naturalist: the Life and Times of Rodney Carrington Wood 1889-1962, by David Happold. Brighton: Book Guild Publishing, 2011. xx + 290 pp. ISBN 9781846245558. £17.95. The British Empire offered extraordinary opportunities for individuals to follow an almost nomadic existence. Some, like Rodney Wood, flitted from job to job, never settling anywhere for long, while pursuing a succession of passions - hunting, collecting, recording, studying nature, supplying museums, yet all as an amateur, in the sense of never holding any professional position relating to these activities. Wood's life spanned the high point of the British Empire in Africa and ended just before the wave of decolonisations in the Central and Eastern areas of the continent. It seemed to have a fairly conventional start for a member of the London commercial elite: a prep school in Perthshire, Scotland, education at Harrow, training for entry into his father's business as a vintner. But Wood was one of those who broke loose. None of the rest of his life was in any way conventional. In 1909, barely twenty years old, Wood headed for Southern Rhodesia (Zimbabwe) to work on a farm. Soon he was in Nyasaland (Malawi), where he was involved in cotton planting and then tea. He lived in places that were deeply embedded in the history of the country, like Chiromo and Cape Maclear, but his mind was always on other things than the economic necessities of planting. He was a hunter and made collections of trophies, some of which were recorded as of record dimensions, but he soon developed such a respect for nature that he became a reformed hunter and devoted himself to natural history collecting in a variety of different fields. He collected small mammals, bugs and butterflies, and also birds, sending many specimens to the Natural History Museum in London, where he soon had professional contacts. Although he was largely self-trained, he seems to have been meticulous in his taxidermy and in his recording and it is this which gives him such value for subsequent biologists. A number of his specimens were unknown to science and thus became 'types' while several had his name attached to them. But his life became more varied. He spent some time in Canada working as a senior scout in the scouting movement there. He discovered the joys of the Seychelles and bought land there. He became an adviser to other collectors and, in particular, travelled with the retired Admiral Lynes on his natural history collecting expeditions in East and Central Africa in the 1930s. He divided his time between Malawi and the Seychelles and, as the collecting nomad that he was, he moved on to conchology, coElecting certain specialist forms of shells. His collections became so considerable that some were sold and turn up in a number of different museums in the United States. …

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: none
Teacher disagreement score0.048
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.001
Scholarly communication0.0020.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0330.005

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 head0.052
GPT teacher head0.292
Teacher spread0.240 · 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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