Elusive Horizons: The Limitations of Comparative Literature as an Autonomous Discipline in Iran
Bibliographic record
Abstract
This article examines the current state of comparative literature in Iran, a discipline introduced nearly a century ago but never granted an independent department at any university. It explores various factors contributing to this situation, including social and political issues, the dominance of national literature departments, curriculum development, and, most critically, extreme nationalistic tendencies embedded in all these aspects. The study also analyzes the condition of Iranian humanities before and after the 1979 revolution, considering historical and political contexts relevant to comparative literary studies. Despite the efforts of many scholars over the past decades, Iranian academia has yet to acknowledge the autonomy of comparative literature due to its interdisciplinary and transnational nature, which challenges national literary frameworks.
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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 | 0.063 | 0.081 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.017 | 0.020 |
| Science and technology studies | 0.009 | 0.036 |
| Scholarly communication | 0.016 | 0.015 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| 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".