Review of Discourse Components of Islamic Republic of Iran in the Middle East
Bibliographic record
Abstract
With the victory of the Islamic Revolution, some shift in paradigm or the shift of discourse is observed in Iran. Islamic Republic System of Iran that was replaced instead of Pahlavi Regime took different discourse, behavior and function practically in addition to domestic policy at the level of foreign policy at the level of the Middle East or West of Asia and North of Africa and this approach was definitely different from the past. The discourse had a central indication of jurisprudential political Islam as the social and political protest against national Iranian radical otherness, western quasi-modernism, secularism and militarism of Pahlavism Discourse, which was created by the friction and dialectic between dominant discourses of similarity to west and discourses different from the west. In this study, 4 components and indices of anti-arrogance Islamism, monist Shiism (establishment of the Islamic Ummah), independence and anti-order orientation based on supporting Axis of Resistance against Axis of Compromise are explained as discourse components of the Islamic Republic of Iran in the Middle East. The data analysis method in this study is mainly based on qualitative methods. Moreover, this study has used data description and analysis using documentary references and methods and through referring to the library and internet.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".