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Record W4379392165 · doi:10.3366/anh.2023.0835

Seeing birds: Dr Casey Wood's (1856–1942) second career

2023· article· en· W4379392165 on OpenAlexaffabout
Victoria Dickenson

Bibliographic record

VenueArchives of Natural History · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsMcGill University
Fundersnot available
KeywordsOrnithologyObituaryMemoirAmateurWifeArt historyPublishingHistoryClassicsArtArchaeologyLawBiologyEcologyLiteratureSouthern HemispherePolitical science

Abstract

fetched live from OpenAlex

In 1920, Casey Albert Wood (1856–1942), a prominent Canadian ophthalmologist and bibliophile, began what was essentially a second career as an amateur ornithologist and author. This paper examines the path Wood followed as he learned more about birds and developed a network of colleagues that aided his transition to a respected member of the American Ornithologists’ Union (AOU) and prolific author on ornithology. It also seeks to place Wood's ornithological writings within the contemporary scientific and popular literature on birds. After his retirement from medical practice in 1920, Wood and his wife Emma (née Shearer) (1859–1951) travelled extensively and Wood's ornithological observations were published in journals varying from scientific publications like the AOU's The Auk and the Cooper Ornithological Society's The Condor, to more popular magazines like the Audubon Society of the Pacific's The Gull. Wood's contributions often combined natural history observation with literary allusions and personal reminiscence. Towards the end of his second career, Wood turned to his bibliophile interests, publishing a catalogue of the McGill Library holdings in vertebrate zoology as well as a translation co-authored with his niece Florence Marjorie Fyfe (1892–1965) of Frederick II of Hohenstaufen's De arte venandi cum avibus. Wood was representative of an earlier generation of gentlemen ornithologists, eulogized in his obituary in The Auk as “probably the most broadly cultured and deeply learned of his generation in our Union”.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.247
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.039
GPT teacher head0.218
Teacher spread0.179 · 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
Published2023
Admission routes2
Has abstractyes

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