Bibliographic record
Abstract
The MENA theatre is situated in one of the most fascinating locations of the world, the Middle East and North Africa. It represents, along with the Balkans-Caucasus, the only existing land corridor that connects three continents. It also holds over a half of the world’s proven oil-gas reserves (56 percent - oil, 48 percent - gas). Furthermore, the Gulf OPEC states and Libya have by far the lowest costs of oil extraction, thanks to the high crude purity (measured by overall properties such as the state of aggregation, excavation gravity, viscosity, weight, sulfuric content and other contaminants) which simplifies and reduces the cost of the refinement process. These petrol-exporters also enjoy the close proximity to open warm seas for low-cost, fast and convenient overseas shipments. Hence, the costs per barrel of crude for Libya and the Persian Gulf states are under US$ 5; for other OPEC members, below US$ 10. This is in a sharp contrast to countries such as the US, Russia, Norway, Canada and many others that bear production costs of several tens of US$ per barrel, according to the International Energy Agency (IEA). Therefore, it is an absolute imperative for the external/peripheral powers to dominate such a pivotal geo-economic and geopolitical theatre by simply keeping its centre “soft,” and pre-empting, preventing or hindering any emancipation that might come through any indigenous socio-political modernisation. This is the very same imperative that has remained a dominant rationale of inner European and Asian machtpolitik for centuries.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.097 | 0.034 |
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".