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Record W7103232446

Review of <i>Nikkei in the Interior West: Japanese Immigrants and Community Building, 1882–1945</i> By Eric Walz

2013· article· W7103232446 on OpenAlexaboutno aff

Bibliographic record

VenueInsecta mundi · 2013
Typearticle
Language
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationEthnic groupEthnic communitySettlement (finance)ScholarshipNarrativeContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Studies of Japanese immigration into North America generally focus on the larger Hawaiian and West Coast populations, but there is a small body of work on other areas, including New York, Texas, and the Canadian heartland. The core of Eric Walz’s book is a pioneering sourcerich examination of Japanese immigration and settlement experiences in the American West, including Nebraska, but excluding the coastal states and Midwest. As long as its focus stays on these sparsely distributed migrants, the book is an interesting addition to the literature, though not a final word. The decision to include Japanese historical and cultural context is admirable, though executed poorly, and the decision to close the narrative at the end of World War II leaves later developments unresolved.\nWalz introduces and demonstrates stages of immigrant ethnic formation, from initial forays into a new frontier, individual settlement and family stages, and finally construction of ethnic communities with local, regional, national, and sometimes international connections. These central chapters feature vivid details drawn from oral histories, memoirs, diaries, newspapers, and government records. The presentation is roughly chronological, guided by concepts of diasporic ethnic formation found in recent scholarship on Japanese and other migrations. While this is not a comparative study, discussion of Latter-day Saint communities as another ethnic tradition occupying much of the same geography is fascinating and productive.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.269
Teacher spread0.252 · 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; both teacher heads agree on what is shown here.

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
Published2013
Admission routes1
Has abstractyes

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