SYNESIUS OF CYRENE AND THE MILITARY UNIT OF UNNIGARDAI: ON THE STATUS OF GOTHS AND HUNS IN THE WEST ROMAN EMPIRE DURING THE LAST QUARTER OF THE 4th CENTURY
Bibliographic record
Abstract
The military unit Unnigardai (), mentioned in the 78th letter of Synesius of Cyrene, is an extremely controversial, even enigmatic object of study: different scholars, such as Ch. Lacombrade and D. Roques, expressed their conflicting opinions on duties, location and legal rank of Unnigardai, but never posed a question of their ethnic origin. On the basis of etymological and comparative linguistic data the author concludes that the root -- in the word used by Synesius reflects the Germanic origin, moreover, it is a transliteration of the Gothic word gards («house», «building») that has a very close meaning to the Scandinavian term garðr. At the same time the -- \ncomponent from the lexicon of Synesius definitely points to Huns and the Turkic ethnonym. Consequently, as the author supposes, the detachment of Unnigardai consisted of Huns and Goths, but the question arises about the reasons and circumstances of the establishment of this unit. In this paper, the author considers the view that Unnigardai originated from West Roman federates (Huns and Goths) who settled in Pannonia by 380 and concludes that Unnigardai could not be formed in the Western half of the Empire, because it is inconsistent with administrative, legal and, most importantly, military situation of the late Roman Empire at the turn of the 5th century.
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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 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".