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Race, Religion, and Civil Rights: Asian Students on the West Coast, 1900–1968

2017· article· en· W4249371502 on OpenAlexaffabout
Greg Robinson

Bibliographic record

VenueJournal of American Ethnic History · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsIconCitationPublishingHistoryLibrary scienceEthnic groupArt historyMedia studiesReligious studiesSociologyPolitical scienceLawAnthropologyComputer science

Abstract

fetched live from OpenAlex

Book Review| July 01 2017 Race, Religion, and Civil Rights: Asian Students on the West Coast, 1900–1968 Race, Religion, and Civil Rights: Asian Students on the West Coast, 1900–1968. By Stephanie Hinnershitz. Camden, NJ: Rutgers University Press, 2015. 268 pp. Illustrations, selected bibliography, and notes. $90 (cloth); $28.95 (paper). Greg Robinson Greg Robinson Université du Québec à Montréal Greg Robinson is Professor of History at Université du Québec à Montréal and the author of multiple books on Japanese Americans, including By Order of the President (Harvard University Press, 2001) and After Camp (University of California Press, 2012). His most recent book is The Great Unknown: Japanese American Sketches (University Press of Colorado, 2016). Search for other works by this author on: This Site Google Journal of American Ethnic History (2017) 36 (4): 74–75. https://doi.org/10.5406/jamerethnhist.36.4.0074 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Greg Robinson; Race, Religion, and Civil Rights: Asian Students on the West Coast, 1900–1968. Journal of American Ethnic History 1 January 2017; 36 (4): 74–75. doi: https://doi.org/10.5406/jamerethnhist.36.4.0074 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectiveUniversity of Illinois PressJournal of American Ethnic History Search Advanced Search The text of this article is only available as a PDF. Copyright 2017 by the Board of Trustees of the University of Illinois2017 Article PDF first page preview Close Modal Issue Section: Reviews You do not currently have access to this content.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.320
Teacher spread0.295 · 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 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
Published2017
Admission routes2
Has abstractyes

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