Morphological Adaptation of English Loanwords in Twitter: Educational Implications
Why this work is in the frame
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Bibliographic record
Abstract
The influx of English borrowed items into Kuwait has recently considerably increased, driven by both linguistic and extra-linguistic factors, mainly through new electronic media, and direct contact with the donor language. Kuwaitis, especially, the new generation heavily make use of English loanwords in mobile devices applications such as Twitter, Instagram, Facebook, Snapchat, and others. It is significant to note that a recipient language (in this case KA) discloses different morphological and phonological features that affect loan words. This paper investigates the morphological adaptation of English loanwords as used by Kuwaitis in twitter. Results indicate that Kuwaitis heavily use and adapt loan words morphologically in twitter and in everyday speech. Significant educational implications were collected as well from interviewing 50 students.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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