Identification and Analysing the Regional Role’ Determinants of Qatar in the Middle East
Bibliographic record
Abstract
Studying the potentials of the regional role of Qatar has a big importance as a result of expanding and increasing this role, especially after the changing in its directions which draw the attention for interesting and study. Therefore this study aimed to investigate the determinants of the Qatari regional role towards the Middle East countries, especially the Arab countries in the absence of the big regional partners- Egypt and Saudi Arabia, also determine the factors, bases, tools and characteristics of this determinants that influencing the strength and expansion of this role in the region. The study concluded that Qatar as a small state and its geographic size didn’t enhance the determinants for acting as a regional force, but Qatar occupies a central place in the territory of the Middle East region, in addition to Physical force, and political statesmanship can be substituted in the diplomatic game management, all the way to the strategic goals and the task of maintaining the state and its political system that burgles them, not by the big powers, but by competing regional powers to dominate the region. Thus, it utilize its strategic site and invested in the appropriate opportunities which have been provided after the Arab Spring.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".