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Record W1979800793 · doi:10.2307/1192619

Romanization in the Time of Augustus

2002· article· en· W1979800793 on OpenAlexvenueno aff
Clifford Ando, Ramsay MacMullen

Bibliographic record

VenuePhoenix · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRomanizationHistoryNatural language processingAncient historyComputer science

Abstract

fetched live from OpenAlex

During the lifetime of Augustus (from 63 B.C. to A.D. 14), Roman civilization spread at a remarkable rate throughout the ancient world, influencing such areas as art and architecture, religion, law, local speech, city design, clothing, and leisure and family activities. In this vivid book, Ramsay MacMullen investigates why the adoption of Roman ways was so prevalent during this period. Drawing largely on archaeological sources, MacMullen discovers that during this period more than half a million Roman veterans were resettled in colonies overseas, and an additional hundred or more urban centers in the provinces took on normal Italian-Roman town constitutions. Great sums of expendable wealth came into the hands of ambitious Roman and local notables, some of which was spent in establishing and advertising Roman ways. MacMullen argues that acculturation of the ancient world was due not to cultural imperialism on the part of the conquerors but to eagerness of imitation among the conquered, and that the Romans were able to respond with surprisingly effective techniques of mass production and standardization.

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: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.022

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 studies0.0060.013
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.034
GPT teacher head0.284
Teacher spread0.250 · 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
GenreEmpirical

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

Citations76
Published2002
Admission routes1
Has abstractyes

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