Experiences of non-North American teachers of English in American English-dominant Korean ELT
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.
Bibliographic record
Abstract
The dominance of North American (U.S. and Canadian) English is widely prevalent in Korean English language teaching (ELT). Students show more positive attitudes towards American English than any other English variety (Jung, 2005; Yook & Lindemann, 2013), and teachers impart and reinforce American English norms (Ahn, 2017; Ahn, 2011). Administrators and employers consider American English as the sole model for Korean ELT (Ahn, 2013; Harrison, 2010; Jenks, 2017; Song, 2013). Koreans’ preference for American English dates back to the 1950s, when the first national ELT curriculum explicitly favored American English over British English (Lee, 2015). Since then the status of American English as the standard among all varieties of English has been strengthened due to Korea's strong political, military, and economic ties with the US (Harrison, 2010; Yim, 2007).
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it