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Record W4394618728 · doi:10.1111/soin.12597

Breaking Borders, Bridging Fields: Unveiling the Transculturality of Anti‐Asian Racism in a Global Context

2024· article· en· W4394618728 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSociological Inquiry · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsYork UniversityConcordia University
Fundersnot available
KeywordsBridging (networking)RacismSociologyAnti-racismContext (archaeology)Gender studiesHistoryComputer scienceComputer security

Abstract

fetched live from OpenAlex

Despite the recent surge in scholarly attention to anti‐Asian racism, what is largely missing in this growing body of literature is a bridge connecting studies on this subject to the broader field of race and ethnicity studies. In this special issue, we propose to use the concept of transculturality, which is defined as the process of cultural interaction, interpenetration, and hybridization that transcends the traditional borders of individual cultures, to establish this connection. In this introductory article, we first critically review the concepts of culture, interculturality, and multiculturality in the studies of race and ethnicity. Upon this review, we explain how transculturality advances the knowledge of racial and ethnic identity, ideas, and practices. This introduction concludes with an overview of each contribution, setting the stage for a comprehensive exploration of this complex and multifaceted issue. Collectively, this special issue aims to not only provide theoretical and empirical insights into the transculturality of anti‐Asian racism but also build a bridge between the studies of the Asian diaspora and the general research on race and ethnicity.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.254
Threshold uncertainty score0.753

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.086
GPT teacher head0.389
Teacher spread0.304 · 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