âGireogi Gajokâ: Transnationalism and Language Learning
Bibliographic record
Abstract
This dissertation examines effects of globalization on language, identity, and education through the case of four Korean jogi yuhak (early study abroad) students attending Toronto high schools. Resulting from a 2.4-year sociolinguistic ethnography on the language learning experiences of these students, the thesis explores how globalization--and the commodification of language and corporatization of education in the new economy, in particular--has transformed ideas of language, bilingualism, and language learning with respect to the transnational circulation of linguistic and symbolic resources in today‘s world. \nThis thesis incorporates insights from critical social theories, linguistic anthropology, globalization studies, and sociolinguistics, and aims to propose a "globalization sensitive" Second Language Acquisition (SLA) theory. To better grasp the ways in which language learning is socially and politically embedded in new conditions generated by globalization, this new SLA theory conceives of language as a set of resources and bilingualism as a social construct, and examines language learning as an economic activity, shaped through encounters with the transnational language education industry.\nThe analysis examines new transnational subjectivities of yuhaksaeng (visa students), which index hybrid identities that are simultaneously global and Korean. In their construction of themselves as "Cools" who are wealthy and cosmopolitan, yuhaksaeng deployed newly-valued varieties of Korean language and culture as resources in the globalized new economy. This practice, however, resulted in limits to their acquisition of forms of English capital valued in the Canadian market. As a Korean middle class strategy for acquiring valuable forms of English capital, jogi yuhak is caught in tension: while the ideology of language as a skill and capital to help an individual‘s social mobility drives the jogi yuhak movement, the essentialist ideology of "authentic" English makes it impossible for Koreans to work it to their advantage.\nThe thesis argues that in multilingual societies, ethnic/racial/linguistic minorities‘ limited access to the acquisition of linguistic competence is produced by existing inequality, rather than their limited linguistic proficiency contributing to their marginal position. To counter naturalized social inequality seemingly linguistic in nature, language education in globalization should move away from essentialism toward process- and practice-oriented approaches to language, community, and identity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".