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The Italian quarters of Frankish Tyre: mapping a medieval city

2007· article· en· W2076416471 on OpenAlexaboutno aff
Merav Mack

Bibliographic record

VenueJournal of Medieval History · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicByzantine Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)HistoryAncient historyUrban historyMedieval historyMiddle AgesGeographyArchaeologyEconomic history

Abstract

fetched live from OpenAlex

The study of the urban history and topography of the Italian quarters in Frankish Tyre is presented through detailed analysis of medieval texts, charters and inventories. The thirteenth-century report and inventory by the Venetian official Marsilio Zorzi is given particular attention due to its elaborated descriptions of several parts of the city. This is the first attempt to map Frankish Tyre and study its commercial quarters. The reconstruction of each quarter is followed by a discussion of the role played by the commune in the Frankish city and its contribution to it. It is demonstrated that the Venetian, Genoese and Pisan communes contributed significantly to the urban design of the city, incorporating the existing markets, bakeries and bath-houses, adding others and supplementing them with new churches and loggias.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.037
GPT teacher head0.223
Teacher spread0.187 · 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

Citations6
Published2007
Admission routes1
Has abstractyes

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