The Frequency of the English Language Used in Social Media by Undergraduate English Majors in Jordan
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 study aims at investigating the frequency and willingness of undergraduate English majors to use English language in social media and informal context. It also aims at discovering frequently used expressions and exploring their functions. The study utilized a questionnaire developed by the researchers based on samples of students’ chats and posts collected from Facebook groups. The questionnaire was distributed to a sample of 100 students majoring English in Al-Hussein bin Talal University to elicit aspects of their views on the use of some common types of English expressions transliterated into Arabic on social media platforms. The results of the study show that transliterated English expressions were widely and commonly used in students’ posts and comments to express different functions, often replacing Arabic alternatives, as English expressions were found to be more expressive. The study concluded with some implications highlighting the role of social media in improving and developing English competence and skills in this technological era.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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