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Record W2795118182

Ogres in the Canadian Bush: The Fairy-Tale Subtext in Tim Wynne-Jones's The Maestro

2007· article· fr· W2795118182 on OpenAlexaboutno aff
Joanne Findon

Bibliographic record

VenueCanadian Children's Literature / Littérature canadienne pour la jeunesse · 2007
Typearticle
Languagefr
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanitiesSubtextArt historyLiterature
DOInot available

Abstract

fetched live from OpenAlex

Resume: Le roman de Tim Wynne-Jones intitlue The Maestro s'avere, a maints egards, une œuvre realiste. Or, a travers la trame d'un recit bien contemporain se tisse en filigrane un reseau d'emprunts a des contes folkloriques fort anciens. Les allusions directes et indirectes a ces recits traditionnels agissent comme un contrepoint a des preoccupations sociales plutot actuelles; ainsi, les references a un conte russe, mort de Koshchei l'immortel, permettent au heros, Burl, de mieux apprehender la complexe influence de son pere abusif. La redemption du heros s'accomplira dans la reecriture de l'episode final du conte qui lui a servi de repere et de guide. Summary: Tim Wynne-Jones's The Maestro is in many ways a typical realistic young adult novel. And yet woven into this contemporary story is a resonant web of traditional fairy-tale elements and motifs. Fairy-tale references, both overt and subtle, resonate against its contemporary concerns. Primary among these are the references to an obscure Russian fairy tale The Death of Koshchei the Deathless , a story which provides Burl with a powerful template for viewing his abusive father. Wynne-Jones's rewriting of the fairy-tale revenge ending provides a model of redemption for Burl.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.345

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0370.012
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0160.001

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 head0.007
GPT teacher head0.200
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
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

Citations2
Published2007
Admission routes1
Has abstractyes

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