Persian Language Dominance and the Loss of Minority Languages in Iran
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
Iran is home to many different ethnic groups who speak different minority languages. Despite that, the Persian language, among others, has dominated other languages and connected Iranian diverse ethnic and linguistic groups with each other. Scholars have attributed its dominance to its linguistic features and the attempts of Iranian elites throughout history to safeguard the Iranian culture and the Persian language from those of non-Iranian ones. Iranian elites have endeavoured not only to maintain the Persian language but purge it from non-Persian words and concepts, namely Arabic and Turkish. However, as a result of that dominance, not only other minority languages in Iran have been lost but their speakers shifted toward the Persian language. This paper presents a historical account of that language dominance and loss to advocate that Iranian linguists and language revitalizers can learn from the language revitalization practices around the world to maintain and revitalize their minority languages.
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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 | 0.000 |
| 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 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it