Impact of Islamic State of Iraq and Syria (IS) on regional equations in Middle East
Bibliographic record
Abstract
The Middle East has not only accumulated a number of longstanding unresolved issues but has also served as a hotbedfor international terrorism. Recently, the so-called “Islamic State” issue has become the most pressing.The objective of the dissertation is the portrayal of the Islamic State of Iraq and Syria (commonly known with theacronym of ISIS), and its goal of instituting a new political state (the Caliphate) in the region, de facto destroyingpreviously established borders. The principal objective is the study of the essence of IS, predisposing factors and thefuture prospects of its existence.In addition, it should be emphasized that the discussion of the Islamic State is unfeasible without the consideration ofother confrontations, regional, Western and Russian interests; as well as the clear-cut “paradoxical alliances” prevalentin the Middle East today.The dissertation firstly focuses on the advancement of the terrorist group and its breaking on the international politicalscene as a new global threat.The major objective of the dissertation is to present a new analysis concerning impact of IS on regional equations inthe Middle East.Based on a descriptive analytical method, this analysis tries to discuss the new dimensions of regional system in theMiddle East.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".