Bibliographic record
Abstract
Diglossia is primarily concerned with displaying sociolinguistic diagnosis of linguistic duality or even multiplicity that can result in evident sense of exaltation of one language or variety and its subsequent prejudice against other varieties within the same speech community. This has been unfortunately the case and the trend in most studies that have approached Arabic over the past six decades , evidently driven by Fergusonianism as a commensurate corollary of pan-Arabism, which thrived and mushroomed under totalitarian regimes and dictatorships in 1950s & 1960s. However, this paper primarily aims at rebutting such predominant assumptions and thereby disambiguating their consequential implications in various linguistic, cultural and pedagogical disciplines. This study, therefore, argues in principle that such linguistic variation in the Arab World results in a state of unity and convergence instead of any presumed divergence by virtue of opting for Standard Arabic cross-regionally; thus, its socio-cultural manifestations may prove how this sociolinguistic phenomenon can be best perceived as uniglossic rather than being diglossic.
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How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".