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Record W4283118988 · doi:10.1353/his.2022.0005

To the Tortured World and Back Again: Anne of Green Gables and Japanese-Canadian Relations, 1931–1970

2022· article· en· W4283118988 on OpenAlexvenueaboutno aff
Michael B. Pass

Bibliographic record

VenueHistoire sociale · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsPopularityWorld War IITourismPoliticsEconomic historyPolitical scienceHistoryLawEconomyEconomics

Abstract

fetched live from OpenAlex

Today, it is common knowledge that the novel Anne of Green Gables is popular in Japan and that this fact has encouraged Japanese tourism to Prince Edward Island. However, while much has been written about how translator Muraoka Hanako adapted L. M. Montgomery's novel to Japanese sensibilities, far less has been written on the wider social, economic, and political factors facilitating this success. Indeed, the Second World War's impact in aiding the Japanese acceptance of Anne should not be underestimated as a factor for its postwar popularity. For policymakers in Charlottetown, Ottawa, and Tokyo during the 1960s, promoting Anne proved to be a mutually beneficial transaction, allowing each to further their postwar domestic policies. This combined promotional effort eventually culminated in the decision to send Anne of Green Gables: The Musical to play at the 1970 Osaka world's fair (Expo '70), setting the stage for mass Japanese tourism to Prince Edward Island during the late twentieth century.

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: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.388

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0320.018
Scholarly communication0.0040.001
Open science0.0010.003
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 head0.013
GPT teacher head0.227
Teacher spread0.214 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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