Bibliographic record
Abstract
The Iranian Plateau, birthplace of the original epic of Gilgamesh Nosrat, Shahla PhD in Comparative Literature (University of Strasbourg) PhD in Oriental and Mediterranean Studies (University of Strasbourg) Responsible of Persian Teaching at C.U.E.R.I.A chahlanosrat@yahoo.fr Received: 14.01.2012 Accepted: 15.09.2012 During the long period of prehistoric times, the literature of every society was gradually shaped by myths, customs and practices of different groups of people who had come together in one geographical area. When such ethnic groups, with their unique religious beliefs, rituals and myths, were unified under a single political and religious system, their cultural practices often persisted in the new system. Furthermore, as time went by, the mutual interaction between each system at times led to intellectual and complicated (theological, ideological, literary) syntheses. The Epic of Gilgamesh, an epic poem from Mesopotamia, is among the earliest surviving works of literature. However, it seems that the geographical framework of the adventures of Gilgamesh and the description of landscapes are more characteristics of the area surrounding the Caspian Sea and Mount Damavand rather than Mesopotamia. This article explores a number of themes and motifs in The Epic of Gilgamesh and the medieval Persian Romance, Vis and Rāmin , to locate the archetypal Mesopotamian hero in the myths of the early inhabitants of the Iranian plateau that is, in the beliefs and the myths of the ancient Elamites who had populated the Iranian Plateau well before the Medes and the Persians. Key words: Mesopotamia, Iranian Plateau, myth, Mithra, Gilgamesh.
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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 | 0.004 | 0.008 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".