Cultural Globalization and Foreign Policy Strategies of the Islamic Republic of Iran (Case Study; the Seventh and the Ninth Governments)
Bibliographic record
Abstract
Nowadays, cultural globalization is one of the most important aspects of expansion and deepening of capitalistic relations. This process exerts a great influence on all communities, especially non-Western societies, so that it has prompted them to adopt different approaches towards it. Thus, understanding the phenomenon of globalization for countries such as Iran that insists on their specificity (especially on their indigenous cultural values), to identify threats and crises which this phenomenon will be looking for them is of high importance. So, the main purpose of this research is to analyze how the seventh and the ninth governments of Islamic Republic of Iran dealt with the issue of globalization, particularly, its cultural aspect. Indeed, with realization of the differences between post-revolutionary Iranian state and most of existing ideologies in the world and also its geopolitics and strategic sensitive location in the region; all Iranian post-revolutionary governments adopted logical and rational policies in dealing with this worldwide wave. However, as regards the specific national, regional and international conditions, the seventh and the ninth governments were much more exposed to globalization and taking a clear stance. Research findings, according to the theory of ‘James N. Rosenau “Fragmegration” show that the seventh government, based on adopting political culturalism, sought for interaction and ‘convergence’ in the form of “dialogue between civilizations" as well as pacifism in addition to criticizing world’s dominant relations. Whereas, the ninth government adopting justice-oriented approach and political spirituality in the form of public participation and management in managing the world led to “divergence” of the existing global order considering realistic and power-based relations of international order.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".