Military Architecture and the Four-Spāhbed System for Defense of the Sasanian Empire (224-651 CE)
Bibliographic record
Abstract
This article examines Sasanian military architecture with respect to its integration with the four-region Spāhbed system (Ādurbādagān-Spāhbed, Xwarāsān-Spāhbed, Xwarbārān-Spāhbed and Nēmrōz-Spāhbed) for defending the empire. Following an overview of Sasanian military architecture within Iran, the article examines the Darband wall of the Caucasus in the context of the office of the Ādurbādagān-Spāhbed facing the empire’s north and northwest (Ādurbādagān, Media Atropatene corresponding with the historical Azerbaijan in Iran’s northwest), the Tammisha and Gorgan wall systems of the Xwarāsān-Spāhbed facing the nomadic warrior peoples of the Central Asia, the military architecture of the Xwarbārān-Spāhbed facing the western (Romano-Byzantine) frontiers, and the Khandaq-e Shapur of the Nēmrōz-Spāhbed facing the southwest, notably raiders from the Arabian Peninsula threatening the empire’s southwest marches.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 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".