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Record W4239988384 · doi:10.5860/choice.50-5972

The Nation in children's literature: nations of childhood

2013· article· en· W4239988384 on OpenAlexaboutno aff

Bibliographic record

VenueChoice Reviews Online · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryChildren's literaturePolitical scienceSociologyLiteratureArt

Abstract

fetched live from OpenAlex

This book explores the meaning of nation or nationalism in children’s literature and how it constructs and represents different national experiences. The contributors discuss diverse aspects of children’s literature and film from interdisciplinary and multicultural approaches, ranging from the short story and novel to science fiction and fantasy from a range of locations including Canada, Australia, Taiwan, Norway, America, Italy, Great Britain, Iceland, Africa, Japan, South Korea, India, Sweden and Greece. The emergence of modern nation-states can be seen as coinciding with the historical rise of children’s literature, while stateless or diasporic nations have frequently formulated their national consciousness and experience through children’s literature, both instructing children as future citizens and highlighting how ideas of childhood inform the discourses of nation and citizenship. Because nation and childhood are so intimately connected, it is crucial for critics and scholars to shed light on how children’s literatures have constructed and represented historically different national experiences. At the same time, given the massive political and demographic changes in the world since the nineteenth century and the formation of nation states, it is also crucial to evaluate how the national has been challenged by changing national languages through globalization, international commerce, and the rise of English. This book discusses how the idea of childhood pervades the rhetoric of nation and citizenship, and how children and childhood are represented across the globe through literature and film.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.015
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0070.012
Scholarly communication0.0120.008
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.017
GPT teacher head0.258
Teacher spread0.242 · 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

Citations6
Published2013
Admission routes1
Has abstractyes

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