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Record W4392298034 · doi:10.32920/25315849

The Bear, the War, and the Children’s Classic

2024· preprint· en· W4392298034 on OpenAlexaboutno aff
Andrew O’Malley

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryPolitical science

Abstract

fetched live from OpenAlex

[para. 1]: "Lt. Harry Colebourn made a crucial contribution to the world of children’s literature and culture, even if it was wholly unanticipated. The historical events that brought together the bear and the author of one of the most enduring classics of children’s literature (not to mention a global popular culture phenomenon) are by now widely known: while travelling by train to Valcartier Quebec, where he would join the Veterinary Corps, Colebourn purchased a female black bear cub in White River, Ontario from the trapper who had shot its mother. He named the cub “Winnie” after his hometown of Winnipeg, and brought her with him when he shipped out to England at the beginning of World War I. The cub became the unofficial mascot for the Fort Garry Horse, the regiment to which Colebourn was attached as a veterinarian. When he was deployed to France, Colebourn left Winnie in the care of the London Zoo; by the time he was able to return to London after completing his service some four years later, Winnie had become an extremely popular attraction at the zoo, prompting Colebourn to donate the bear permanently. Winnie remained one of the London Zoo’s most beloved inhabitants until her death in 1934."

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)0.001
metaresearch head score (Gemma)0.002
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 score0.088
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0100.013
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0150.002

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 head0.008
GPT teacher head0.201
Teacher spread0.193 · 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
Published2024
Admission routes1
Has abstractyes

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Same topicAmerican Sports and LiteratureFrench-language works237,207