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Record W4242698682 · doi:10.1017/9781316827437.013

Byzantine Greek

2019· book-chapter· en· W4242698682 on OpenAlexaff
Stefano Valente

Bibliographic record

VenueCambridge University Press eBooks · 2019
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsByzantine architectureNinthEmperorAncient historyClassicsHistoryLexicographyEmpirePrincipateByzantine studiesArtPoliticsPhilosophyLinguisticsPolitical science

Abstract

fetched live from OpenAlex

The Byzantine millennium is customarily defined as beginning with the closure of the Neo-Platonic school in Athens ordered by Emperor Justinian in the year 529, and ending with the capture of Constantinople in 1453 by the Ottoman army led by Sultan Mehmed II. Of course, Greek lexicography existed before Byzantium (see Chapter 5). Furthermore, the Byzantine legacy extends into the European Renaissance, affecting both the Greek-speaking communities and European scholars who learned Greek. The present chapter covers those regions of the Byzantine empire where Greek was spoken, that is to say grosso modo Greece, Asia Minor, and southern Italy. Constantinople and its institutions formed one of the main centres for the preservation and evolution of Byzantine Greek lexicography throughout this time. Some other cities and regions – such as Thessalonica and the ‘Terra d’Otranto’ in southern Italy – also played an important role in the production and dissemination of certain lexicographic works. The texts which will be discussed in this chapter are preserved in parchment or paper manuscripts, usually in codex form, dating from around the ninth century up to the sixteenth.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.004
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.005

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 head0.025
GPT teacher head0.181
Teacher spread0.157 · 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".

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Citations1
Published2019
Admission routes1
Has abstractyes

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