The Maghreb‐Mashreq language ideology and the politics of identity in a globalized Arab world<sup>1</sup>
Bibliographic record
Abstract
To date, most scholarship on Arabic language ideologies has focused on the contentious relationship between Standard Arabic and the spoken vernaculars. This paper, in contrast, draws attention to the hierarchies among theregionalvarieties of vernacular Arabic. Specifically, it makes visible the workings of what it calls the ‘Maghreb‐Mashreq language ideology’: the hierarchical relationship between Mashreqi (Middle Eastern) and Maghrebi (North African) vernacular Arabic varieties. The paper explores, in particular, the de/authentication of linguistic Arabness through a detailed analysis of a transnational pan‐Arab reality/talentTVshow. Drawing on clips of situated interactions from this series, which have been uploaded to YouTube and commented upon by viewers, the paper argues that the new media is a critical site for reworking longstanding language ideologies and the politics of identity in the Arabic‐speaking world.[Arabic]
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".