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Record W4301440213 · doi:10.3138/jeunesse.5.1.84

Figuring Transition: Play, Performance, and Mimicry in Children’s Books by Thomas King, Mordecai Richler, and Margaret Atwood

2013· article· en· W4301440213 on OpenAlexvenueno aff
Helene Staveley

Bibliographic record

VenueJeunesse Young People Texts Cultures · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMimicryWizardArtIdeal (ethics)LiteratureAestheticsPhilosophyComputer scienceEpistemologyBiologyZoology

Abstract

fetched live from OpenAlex

In Thomas King’s A Coyote Solstice Tale, Mordecai Richler’s Jacob Two-Two Meets the Hooded Fang, and Margaret Atwood’s Wandering Wenda and the Widow Wallop’s Wunderground Washery, the mimicry of the transitional characters is a platform for their satire. Mimicry is a neutral practice in and of itself and can be advocated as a model behaviour: the dictum to become the change one wants to see in the world suggests that, by imitating a not-yet-actual ideal, one can make that fiction reality. For Child, The Hooded Fang, and the Wizard/Widow, mimicry also dramatizes the intolerability of worlds that manipulate interpellative processes to reify power. The transitional figures in these three books work as models of the half-playful and half-perverse clinging to a way of life that pertains to a particular fictional world they endorse, reinforcing childhood as a desirable, dynamic, and powerful transitional state.

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)0.003
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 score0.950
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0100.019
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.194
Teacher spread0.189 · 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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Same venueJeunesse Young People Texts CulturesSame topicThemes in Literature AnalysisFrench-language works237,207