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Record W2624816913 · doi:10.15055/00006621

Loss and Renewal in Three Narratives of the Nikkei Brazilian Diaspora : Ishikawa Tatsuzō's "Sōbō" and Its Sequels

2017· article· en· W2624816913 on OpenAlexfundno aff
Reiko Tachibana

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsDiasporaNarrativeGender studiesSociologyHistoryPolitical scienceArtLiterature

Abstract

fetched live from OpenAlex

In this article I examine Ishikawa’s “Sōbō,” which won the first Akutagawa Prize in 1935, and its sequels, both of which were published in 1939 (the Sōbō trilogy appeared in book form in 1939). The trilogy begins with an account of a group of emigrants’ experiences at the national emigration center in Kobe and then during forty-five days of travel to Brazil on a ship called La Plata Maru, and ends with their arrival in Brazil and several days spent on a coffee plantation there. All three stories are linked by a fictional character—a twenty-three-year-old woman named Onatsu whose apparent passivity or nonresistance to social hierarchies (including gender relations) mirrors the situation of many emigrants. Ishikawa’s shifting voices about the troubling emigration program that formed part of the Japanese government’s engagement with modernization and imperialism are discussed, along with the sociopolitical contexts of the 1930s (including censorship and full-scale war against China).

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)0.004
metaresearch head score (Gemma)0.005
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 score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0260.020
Scholarly communication0.0070.006
Open science0.0010.012
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.295
Teacher spread0.267 · 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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