Language Ideology and Practices in Higher Education in Saudi Arabia
Bibliographic record
Abstract
Universities mainly play an important role in serving the national languages and demonstrating their supremacy in the country and at the same time universities strive to compete with the universities of the world. Between the preservation of the national language and the tendency to internationalize the university, a group of linguistic ideologies is formed, which is expected to be contradictory between some or between ideologies and practices. This paper investigates the linguistic ideology of academics in medical colleges at King Abdulaziz University, because of the important role of ideology in shaping education policies. This paper also investigates the practices of academics, and data was collected through interviews with the aim of revealing language ideologies, while I used a questionnaire to monitor language practices. The results revealed that academics have a pragmatic ideology as a reason for preferring to use English, for example: participating in conferences and publishing scientific papers in English. The results also revealed the existence of positive practices regarding the use of Arabic in communicating with students, and the study revealed the existence of positive practices towards Arabic regarding the use of Arabic references in teaching students and suggesting Arabic references to students if available.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".