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Record W4249510241 · doi:10.1017/9781139030236

The Roman Empire in Late Antiquity

2018· book· en· W4249510241 on OpenAlexaff
Hugh Elton

Bibliographic record

VenueCambridge University Press eBooks · 2018
Typebook
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsTrent University
Fundersnot available
KeywordsLate AntiquityEmpireRoman EmpireEmperorAncient historyChristianityClassicsFrontierHistoryPeriod (music)Medieval historyClassical antiquityEarly modern periodArtArchaeology

Abstract

fetched live from OpenAlex

In this volume, Hugh Elton offers a detailed and up to date history of the last centuries of the Roman Empire. Beginning with the crisis of the third century, he covers the rise of Christianity, the key Church Councils, the fall of the West to the Barbarians, the Justinianic reconquest, and concludes with the twin wars against Persians and Arabs in the seventh century AD. Elton isolates two major themes that emerge in this period. He notes that a new form of decision-making was created, whereby committees debated civil, military, and religious matters before the emperor, who was the final arbiter. Elton also highlights the evolution of the relationship between aristocrats and the Empire, and provides new insights into the mechanics of administering the Empire, as well as frontier and military policies. Supported by primary documents and anecdotes, The Roman Empire in Late Antiquity is designed for use in undergraduate courses on late antiquity and early medieval history.

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)0.001
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.032
GPT teacher head0.204
Teacher spread0.172 · 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

Citations52
Published2018
Admission routes1
Has abstractyes

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