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Record W2199873415

George Hutchinson, a Canadian Illustrator of Robert Louis Stevenson's Treasure Island

2007· article· fr· W2199873415 on OpenAlexaboutno aff
Wendy R. Katz, Lilian Falk

Bibliographic record

VenueCanadian Children's Literature / Littérature canadienne pour la jeunesse · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsTreasureArtGeorge (robot)Nova scotiaArt historyHumanitiesNarrativeHistoryArchaeologyLiterature
DOInot available

Abstract

fetched live from OpenAlex

Resume: L'artiste neo-ecossais George Hutchinson a fait paraitre en 1894-1895 une serie de dix-huit planches pour L'Ile au tresor . C'est le premier a avoir illustre cette œuvre en travaillant seul. Sa serie, negligee, est remarquable pour l'attention qu'elle porte a la narration romanesque. Cet artiste injustement oublie a servi de modele au personnage principal du roman The Master d'Israel Zangwill. Summary: Nova Scotian artist George Hutchinson illustrated a serial version of Treasure Island , the first to be illustrated by a single hand, for Chums magazine in 1894-95. This largely overlooked version, containing eighteen drawings, is noteworthy for its careful attention to the story's narrative point of view. Of further interest is the nature of Chums itself as a home for Treasure Island . Also of special note is the Nova Scotia background of Hutchinson, who worked in London as an illustrator and there attracted the attention of writer Israel Zangwill, who used Hutchinson as the basis for his novel The Master .

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: Empirical · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.197

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 studies0.0120.003
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0370.003

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 head0.004
GPT teacher head0.188
Teacher spread0.184 · 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
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
Published2007
Admission routes1
Has abstractyes

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