Energy development and management in the Middle East: A holistic analysis
Bibliographic record
Abstract
The Middle East (ME) has undergone substantial changes in the energy landscape in recent years due to considerable variations in energy demand trends, economic/political upheaval, and climate change. The ME energy heavily relies on limited fossil fuel resources, which cause adverse climate change. Considering its geographical location, this region has huge potential for developing clean and sustainable energy resources, which will simultaneously satisfy its increasing energy demand and address climate change concerns. This review paper provides a comprehensive overview of non-renewable and renewable energy resources and their current status and future prospects in the ME. Moreover, it discusses in detail the energy utilization, management, and challenges associated with their development in the ME. Further, it examines the adverse effects of energy development on environment and health. The cost of energy development and current market status in the ME are also precisely analyzed. In particular, this review paper systematically assesses the energy policies and frameworks in the ME with consideration of political relations and governmental regulations. The outcomes of this study confirm that energy transition to renewable resources in the ME requires investment, research, and precise frameworks and policies. Therefore, the ME still has to go a long way to reliably count on renewable energy as the main energy source.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".