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Late Roman Warlords

2002· book· en· W1975486206 on OpenAlexaboutno aff
Penny MacGeorge

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsBarbarianAncient historyRulerTheme (computing)HistoryPeriod (music)KingdomRoman EmpireGreeksEmpireQuarter (Canadian coin)Relation (database)PoliticsClassicsCharacter (mathematics)ArtArchaeologyLawPolitical science

Abstract

fetched live from OpenAlex

Abstract This book reconstructs the careers of some of the men who shaped (and were shaped by) the last quarter century of the Western Empire. The difficult sources for this period have been analysed (and translated as necessary) to produce a chronological account, and relevant archaeological and numismatic evidence has been utilised. An overview of earlier warlords, including Aetius, is followed by three studies of individual warlords and the regions they dominated. The first covers Dalmatia and Marcellinus, its ruler during the 450s and 460s. A major theme is the question of Marcellinus' western or eastern affiliations: using an often-ignored Greek source, this book suggests a new interpretation. The second part is concerned with the Gallic general Aegidius and his son Syagrius, who ruled in northern Gaul, probably from Soissons. This extends to AD 486 (well after the fall of the Western Empire). The problem of the existence or non-existence of a ‘kingdom of Soissons’ is discussed, introducing evidence from the Merovingian period, and a solution put forward. This section also looks at how the political situation in northern Gaul might throw light on contemporary post-Roman Britain. The third study is of the barbarian patrician Ricimer, defender of Italy, and his successors (the Burgundian prince Gundobad and Orestes, a former employee of Attila) down to the coup of 476 by which Odovacer became the first barbarian king of Italy. This includes discussion of the character and motivation of Ricimer, particularly in relation to the emperors he promoted and destroyed, and of how historians' assessments of him have changed over time.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.089
Threshold uncertainty score0.299

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0890.021

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 head0.026
GPT teacher head0.187
Teacher spread0.161 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations144
Published2002
Admission routes1
Has abstractyes

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Same topicMedieval Literature and HistoryFrench-language works237,207