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Hemispheric Approaches to Asian American Literature

2020· reference-entry· en· W3014814340 on OpenAlexaffabout
Donald C. Goellnicht

Bibliographic record

VenueOxford Research Encyclopedia of Literature · 2020
Typereference-entry
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDiasporaIndigenousHistoryGender studiesAsian americansAsian studiesEast AsiaNationalismLiterary criticismAmerican studiesHistory of Asian AmericansAnthropologyEthnologyPolitical scienceSociologyEthnic groupChinaLiteraturePolitics

Abstract

fetched live from OpenAlex

Abstract Hemispheric approaches to Asian American literature disrupt, supplement, and interrogate the cultural nationalist focus of early Asian American studies, transpacific and transnational approaches to Asian American studies that came to prominence in the 1990s, and the overall dominance of the United States in Asian American studies. These approaches have largely been championed by scholars working in Canada or on Canadian material, by feminist and queer scholars, and by those working on interethnic or interracial approaches between “Asian American” and black/African American, Latinx, and/or Native/Indigenous communities. The term “hemispheric” was preceded by Asian North American, which has been employed from fairly early in the maturing of Asian American literary and cultural criticism. Key also is the scholarly history of hemispheric approaches to Asian North American literature and culture (and to a lesser extent Asian Caribbean and Latin American literature and culture), the cross-border relations between artists and activists of Asian descent in North America, and the U.S. cultural imperialism inherent in this approach as well as its potential to diversify and open up the field of Asian American literary and cultural studies. The hemispheric approach also uncovers some of the limitations of the “transnational” and “diaspora” approaches that currently dominate Asian American studies and emphasize an east-west, transpacific spatiality.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.444
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.009
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0010.005
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 head0.079
GPT teacher head0.340
Teacher spread0.261 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

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