MétaCan
Menu
Back to cohort
Record W4387429625 · doi:10.9734/bpi/rtass/v9/7649a

From Sasanian Adurbadagan to Modern Azerbaijan: Historical Background and Developments

2023· book-chapter· en· W4387429625 on OpenAlexaff
Mahir Khalifa-Zadeh, Leyla Khalifazadeh

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEurasian Exchange Networks
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsZoroastrianismAncient historyCONQUESTFortress (chess)EmpireGeographyIslamPoliticsHistoryArchaeologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.317
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.102
GPT teacher head0.306
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicEurasian Exchange NetworksFrench-language works237,207