Reconfiguration of Arab and Middle Eastern Regions beyond Political and Economic Threats
Bibliographic record
Abstract
Arab world and Middle Eastern region have suffered from wars and conflicts, which have resulted in creating a negative impact on the economy. In the past years, few studies have focused on discussing the impact of democratization in the Middle East and Arab region. The citizens of the Middle East region have suffered from authoritative style of governance. The democratic system is ideal for the Middle East region. It ensures that the basic fundamental rights of the citizens are protected. There are various factors, which provide hindrance in the adaptation of democratic system in both regions. This study explores major problems faced in the implantation of democratization system in the Middle East. Furthermore, the merits and demerits associated with the democratization system have also been highlighted. It has been evaluated that democratization system is beneficial for the Middle Eastern region. The implementation of democratization would be helpful in delivering benefits to the citizens. In a democratic system, the opinion of the public is considered in formulating policies. However, authoritative style of leadership and governess could cause hindrance in delivering benefits to the citizens. Thus, it can be concluded that democratization system is well-suited for Middle East region specifically. Moreover, present political setup or regime has failed to provide facilities to the public. So, public awareness should be created towards a limited democratization system as it has the capability of delivering benefits across all the sectors.
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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 | 0.001 | 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 | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".