Iran and Future European Union Gas Supply: Sociolinguistic Element of Iranian Gas Export Media Debate
Bibliographic record
Abstract
While Iran possesses one of the biggest gas reserves in the world, Iranian media debate about gas export has been concentrated around the gas pipe line strategy. On the other hand, Iran is not even yet a gas export country despite having such big gas reserves and this begs the question as to why Iran has not been successful in providing European Union with gas. Our research deals with this question and explains the future prospect of Iran-European Union cooperation in energy sector. Our main hypothesis in this research is then formulated as follows: Iranian media has been mostly captured by pro-pipe line officials who see great fortune in the possible economic benefits for them in this. However, for petroleum products, as long as Iran enjoys good relationship with Europe, it can play an important role in the oil sector. In fact, we will show that the linguistic aspect is vital as it help depict a different picture for the general public, bringing about different expectation among the youth and nationalists. Finally, we also discuss the LNG gas export possibility and the economic reasoning behind its future exploitation in Iran.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".