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Record W7133082135

Losing the War, Winning the Pooh: Ishii Momoko and the Construction of Contemporary Children's Literature in Postwar Japan

2017· dissertation· W7133082135 on OpenAlexfundno aff
Hyoseak Choi

Bibliographic record

VenueTSpace · 2017
Typedissertation
Language
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Toronto
KeywordsState (computer science)Foundation (evidence)World literaturePeriod (music)Japanese literature
DOInot available

Abstract

fetched live from OpenAlex

The beginning of contemporary Japanese children’s literature dates back to the 1950s. Presently, the conventions of the genre has become accepted as truths about what types of books are appropriate for children. However, the conventions established in the 50s and 60s developed under the specific social conditions of Japan’s loss of the Second World War, the ensuing U.S. Occupation, and the Cold War. The state of children’s literature in present day Japan reflects a historically constructed image of childhood prevalent in writing, translating, publishing, and distributing children’s books. This thesis focuses on the career of Ishii Momoko, one of the most important figures in shaping postwar Japanese children’s literature who received a fellowship from the Rockefeller Foundation to study in America from 1954 to 55 and disseminated the knowledge she acquired upon her return, in an attempt to outline the influences of postwar social forces on children’s literature.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0260.017
Scholarly communication0.0100.004
Open science0.0010.007
Research integrity0.0010.003
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 head0.021
GPT teacher head0.329
Teacher spread0.308 · 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 designQualitative
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
Published2017
Admission routes1
Has abstractyes

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