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Japanese Brazilians and Their Brazilian Identity in Japan

2017· book-chapter· en· W2804802298 on OpenAlexaboutno aff
Mieko Nishida

Bibliographic record

VenueUniversity of Hawaii Press eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsThrivingHomelandDiasporaGeographyQuarter (Canadian coin)Subordination (linguistics)Political scienceEthnologyGender studiesHistorySociologySocial scienceArchaeology

Abstract

fetched live from OpenAlex

Within a year and half after the global recession began in September 2008, one quarter of Brazilian residents in Japan had returned to Brazil, which critically damaged the once thriving ethic Brazilian businesses in Japan’s Brazil Towns. Brazilian dekassegui workers largely married among themselves, and gender subordination often came to be reproduced and even strengthened in the Brazilian diaspora. Over the years, due to Japan’s prolonged recession, the Brazilian population in Japan came to be dispersed. Japanese Brazilians remaining in Japan became increasingly nationalistic as Brazilians, imagining their homeland for its bright future, with the World Cup (2014) and Summer Olympics in Rio de Janeiro (2016). While being positioned collectively as Brazilians, Japanese Brazilians have not come to form a homogenized Brazilian identity in Japan and continued to position themselves individually over “the face” and the definition of Nikkeiness.

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)0.001
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: none
Teacher disagreement score0.106
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.004
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.001
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 head0.028
GPT teacher head0.254
Teacher spread0.226 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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