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Record W2625723374 · doi:10.33137/q.i..v33i2.19441

Making the Italians. Poetics and Politics of Italian Children’s Fantasy

2013· article· en· W2625723374 on OpenAlexvenueno aff
Lindsay Myers, Anne Urbančič

Bibliographic record

VenueQuaderni d italianistica · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsFantasyPoeticsPoliticsLiteratureIdentity (music)HistoryAestheticsSociologyArtPolitical scienceLawPoetry

Abstract

fetched live from OpenAlex

Italian children’s literature has a diverse and unusual tradition of fantasy. With the exception of Carlo Collodi’s Pinocchio, however, it has remained almost entirely unknown outside of Italy. Why is it that Italian children’s fantasy has remained such a well-kept secret? How ‘international’ is the term ‘fantasy’, and to what extent has its development been influenced by local as well as global factors? Cross-cultural and cross-linguistic research into this neglected area is essential if we are to enrich our understanding of this important literary genre. This book charts the history and evolution of Italian children’s fantasy, from its first appearance in the 1870s to the present day. It traces the structural and thematic progression of the genre in Italy and situates this development against the changing backdrop of Italian culture, society and politics. The author argues that ever since the foundation of Italy as a nation-state the Italian people have been actively involved in an ongoing process of identity formation and that the development of children’s fantasy texts has been inextricably intertwined with sociopolitical and cultural imperatives.

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)0.002
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 score0.019
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.022
Scholarly communication0.0060.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.289
Teacher spread0.264 · 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

Citations12
Published2013
Admission routes1
Has abstractyes

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