Reading Habermas in Iran: political tolerance and the prospect of non-violent movement in Iran
Bibliographic record
Abstract
In this paper, I intend to appropriate the explanatory power of some of Habermas' recent ideas (such as complementary learning processes, modernization of faith, tolerance, and non-violence) for the purpose of examining the current political situation in Iran. I would like to argue that the recent history of Iran has offered an occasion for a development away from a dogmatic religious consciousness and toward a more tolerant one. I submit that these opposing modes of thought are, respectively, represented by the hardliners in power and the reformists in opposition. The current impasse, I argue, is the result of an asymmetrical learning process, where the conservative camp has not evolved along with the reformers. I submit that the way out of the impasse is a fully fledged non-violent movement of civil disobedience by the opposition. The politics of non-violence engagement can be realized by fostering a culture of tolerance as the acceptance of reasonable disagreements and the rejection of violent means in politics. I argue that such a movement has begun to emerge after the June 12 2009 presidential election in the form of the Green Hope Movement.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.013 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".