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Record W2071743205 · doi:10.2167/la369.0

Language Ideologies and Bilingual Education: A Korean-American Perspective

2007· article· en· W2071743205 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

VenueLanguage Awareness · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsYork University
Fundersnot available
KeywordsIdeologyJournaling file systemEthnographyPedagogySociologyFirst languageImmigrationFluencyLanguage educationLinguisticsPsychologyMathematics educationAnthropologyPolitical science

Abstract

fetched live from OpenAlex

This paper is an ethnographic record of an ongoing journey during which I have tried to understand the kinds of language ideologies that my students and I have constructed about the Korean language. My students are mainly Korean-American university students who have never successfully achieved native fluency in their heritage language, although several attended Korean Saturday schools as children. A special expression, ‘FOB’ (Fresh Off the Boat), which I discovered during this journey, proved crucial to my understanding of my students' language ideology about the Korean language. My language ideology and that of my students appeared to be in conflict. My students were highly motivated to learn Korean, but they were opposed to Korean–English two-way immersion (TWI) programmes. I, however, strongly favoured these programmes. After a process of reflection, debate, journaling and interviewing, I reached a new understanding, reconciling the apparent ideological conflict that has separated me from my students. My findings suggest that ideologies towards the Korean language are inextricably bound to their views on English proficiency and Korean immigrants.

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)0.001
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 score0.206
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.031
GPT teacher head0.484
Teacher spread0.453 · 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