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Record W3093536871 · doi:10.1515/etst-2020-0016

A Blurring Frontier: The Territory of Caere in the Fourth and Third Centuries B. C. E.

2020· article· en· W3093536871 on OpenAlexaff
Fabio Colivicchi

Bibliographic record

VenueEtruscan Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Mediterranean Archaeology and History
Canadian institutionsQueen's University
Fundersnot available
KeywordsFrontierPeriod (music)PoliticsSettlement (finance)HistoryState (computer science)ArchaeologyGeographyAncient historyAssimilation (phonology)Economic geographyPolitical scienceLawArtAestheticsComputer science

Abstract

fetched live from OpenAlex

Abstract At the end of a long history of increasingly close relationships with its neighbor, the Etruscan city of Caere became a sort of “satellite state” of Rome and was eventually transformed into apraefecturain 273 B. C. E. Historians have focused on the institutional aspect of the process, with its progressive “softening” of the political frontier between the two cities through theciuitas sine suffragio, which paved the way for eventual assimilation. This paper examines the archeological record of the territory of Caere in the period between the late fourth and the third centuries B. C. E., tracking the development of settlement patterns and the cultural changes revealed by the material culture. Complex dynamics developed in the territory of Caere during this crucial period, with different groups adopting diverging strategies to adapt to the challenges and opportunities of the new situation.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.397

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.005
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.088
GPT teacher head0.246
Teacher spread0.158 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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