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Record W2979141731 · doi:10.3167/hrrh.2019.450105

The Chinese in the Initiation of America's Pan-Indianism

2019· article· en· W2979141731 on OpenAlexvenueno aff
Tao Zhang

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsChinese americansNationalityWhite (mutation)RacismRace (biology)Gender studiesIdentity (music)HistoryPerspective (graphical)Ethnic groupNative americanSociologyPolitical scienceImmigrationEthnologyAnthropologyAestheticsLawArt

Abstract

fetched live from OpenAlex

Despite some scholarly attention, the Native-American–Chinese association is mainly studied from the White perspective. One may get the impression that connections between the two similarly marginalized groups are either imagined or promoted by Whites for their own benefit. But, as a matter of fact, American Indians, joined by their White friends, did initiate associations with the Chinese out of their own racial considerations. One case in point is Pan-Indians’ reference to the Chinese in the process of forging a united and unique identity for the Indian race at the turn of the twentieth century. With those allusions, Native Americans were constructed into a group that was exceptional and progressive, benevolent and cosmopolitan—in short, a group that Whites should accept and respect as fellow Americans. Passively involved in proving Indians’ eligibility for American nationality, the Chinese emerged as racialized but less repugnant than they had been in Whites’ racist depictions. Pan-Indians’ citation of the Chinese thus registers the caution with which they navigated the constraints imposed by American racism in the late nineteenth and early twentieth centuries.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.326
Teacher spread0.307 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2019
Admission routes1
Has abstractyes

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