From Sasanian Adurbadagan to Modern Azerbaijan: Historical Background and Developments
Bibliographic record
Abstract
The author discusses the historical background of the origin of modern Azerbaijan divided by the Araz river into southern or Iranian and northern or the independent Republic of Azerbaijan. The author analyzes the application of the Sasanian name Adurbadagan to both sides of modern Azerbaijan. He believes that the name Azerbaijan originates from the Avestan words Atash or Atar or Azar that means fire. As a historical and political term, Azerbaijan roots deep to Achaemenids’ Aturpatakan (Atropatena) evolving into the Sasanian Adurbadagan - a Zoroastrian center of the empire. Since late Antiquity, Adurbadagan’s military and administrative functions were extended and applied by the Sasanids to all lands in the north from the Aras river, up to Darband fortress in Arran (Albania) in Caucasia. The author argue, since late Antiquity, Adurbadagan and Arran became interchangeable names in the northern bank of the Araz river. In the Islamic period, particularly after Seljuk Turks conquest of Iran, Adurbadagan evolved into the Turkified form of Azarbadajan or Azerbaijan, cementing the modern Azerbaijani Turks’ identity in the south and north sides of the entire Azerbaijan divided by the Araxes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".