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Record W4230059490 · doi:10.1515/9783110638332-009

Römische Straßen und Meilensteine im Ebenen Kilikien

2019· book-chapter· de· W4230059490 on OpenAlexaboutno aff
Mustafa Sayar

Bibliographic record

Venuenot available
Typebook-chapter
Languagede
FieldArts and Humanities
TopicByzantine Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsEmpireState (computer science)Ancient historyPoliticsQuarter (Canadian coin)Roman EmpireHistoryEconomic historyGeographyArchaeologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The relatively secure dates of the milestones found so far prove that the roads in the Cilician plain were expanded from the middle of the 2nd century onwards. Up until the fall of the Parthian Empire in 224 CE, expansion and maintenance of the road network in Kilikia Pedias were intensified due to the increasing campaigns against the Parthians, because the state of these main routes for the movement of troops to the front were strategically crucial for the fate of the Roman Empire. This construction activity continued after the founding of the Sassanian Empire in the year 224 CE until the raid by the Sassanian king Sapor I. in 260 CE. The road network saw its next phase of renewal only after the devastation of urban life in the first quarter of the 4th century as a result of the increasing military activity against the Sassanians during the first tetrarchy, when Diocletian carried out administrative, economic, political and military reforms throughout the empire.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.003

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 head0.031
GPT teacher head0.217
Teacher spread0.185 · 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 designObservational
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

Citations3
Published2019
Admission routes1
Has abstractyes

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Same topicByzantine Studies and HistoryFrench-language works237,207