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Record W2115557084 · doi:10.1177/097194581001400104

<i>Civitas</i> in Early Medieval Central Europe—Stronghold or District?

2011· article· en· W2115557084 on OpenAlexaff
Sébastien Rossignol

Bibliographic record

VenueThe Medieval History Journal · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsWilfrid Laurier UniversityUniversité de Montréal
Fundersnot available
KeywordsGeographerMeaning (existential)Argument (complex analysis)ScholarshipPopularityHistoryClassicsLiteratureLinguisticsGeographyArtPhilosophyPolitical scienceLawEpistemologyCartography

Abstract

fetched live from OpenAlex

Several generations of historians and archaeologists have debated the meaning of the word civitas used in Frankish sources in the 9th and 10th centuries. This argument principally involves a short geographical tract whose anonymous author is known as the so-called ‘Bavarian Geographer’. The 9th-century civitas has been interpreted as designating either a stronghold or, according to the definition in classical Latin, a district. Although the former meaning now seems to have gained popularity in recent scholarship, the latter has still not disappeared and, most importantly, the reasons underlying the adoption of either of these definitions have remained unclear. In this article, the evidence in Frankish written documents is systematically analysed and it is concluded that the so-called ‘Bavarian Geographer’ certainly used the word civitas with the meaning of stronghold, which was common in his time and place, and not with the meaning of district.

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)0.002
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: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0030.007
Scholarly communication0.0060.003
Open science0.0000.002
Research integrity0.0010.001
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 head0.057
GPT teacher head0.205
Teacher spread0.148 · 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

Citations3
Published2011
Admission routes1
Has abstractyes

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