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Record W1885829604 · doi:10.21623/1.3.3.6

Tensions of Local and Global: South Korean Students Navigating and Maximizing US College Life

2015· article· en· W1885829604 on OpenAlexaboutno aff
Yu-Kyung Kang

Bibliographic record

VenueLiteracy in Composition Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsGlobeEliteStudy abroadDiversity (politics)Context (archaeology)SociologyLiteracyPolitical scienceNegotiationInstitutionGender studiesEthnographyHigher educationPedagogyPublic relationsSocial scienceLawPsychologyPoliticsGeography

Abstract

fetched live from OpenAlex

For over a decade, a particular transnational educational migration trend in Korea, known as jogi yuhak or “Early Study Abroad,” has been sending thousands of pre-college students to various parts of the globe (e.g. U.S., Canada, Australia, Singapore) with hopes that young Koreans will acquire “native-like” English and become “global elites.” Many of these students then enter U.S. universities that are built upon liberal ideals of diversity and individualism in theory, but offer in practice an indifferent climate towards racial and linguistic difference. Drawing on a two-year ethnographic study of Korean undergraduate students at the University of Illinois, the U.S. public higher education institution with the largest number of international students, the author examines interviews, observations and artifacts collected from the Korean Student Association (KSA), a registered student organization with over 100 staff members mostly with jogi yuhak experience. As the global university offers a rather unfavorable academic climate for racially and linguistically diverse students as well as heightens the failures of literacy as a way to “global elite.” It is in this context that KSA members work to build, reestablish, and preserve their identities and create conditions of respect through practices of localization: The students foster their “Koreanness” not only through Korean language use but also through institutionally rebuilding Korean social practices and networks strained by their many years abroad. Students are able to negotiate their liberal, or rather neoliberal college dreams in seemingly Korean ways of language and literacy that ultimately help them ground their identity as U.S. college students.

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)0.000
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 score0.079
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.073
GPT teacher head0.433
Teacher spread0.360 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2015
Admission routes1
Has abstractyes

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