Bibliographic record
Abstract
It has been claimed that the 1979 revolution in Iran transformed the country in many respects. This article aims to examine the extent to which the Islamic Republic of Iran (IRI) has deviated, if at all, from the linguicidal policies of the Pahlavi dynasty towards non-Persian languages in Iran. The article finds, in both the monarchical and IRI regimes, a policy of (a) treating multilingualism as a threat to the country's territorial integrity and national unity, (b) restricting the use of non-Persian languages, and (3) promoting the supremacy of Persian as a venue for unifying the ethnically and linguistically heterogeneous body politic. While the continuity in the language policy of the two regimes is prominent, differences will be noted especially in the changing geolinguistic context of the region where Kurdish has achieved the status of an official language in Iraq (since 2005) and has enjoyed some level of tolerance in the linguicidal Turkish state (since 1991). New communication technologies as well as cross-border social and linguistic networking among the Kurds throughout Kurdistan and the world have changed the language environment but not the official policy of “one-nation=one-language”. Persianization of non-Persian peoples continues to be the building block of the Islamic regime's language policy.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.015 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| 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".