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Record W2809483541 · doi:10.6092/2281-6062/5547

Nuovi documenti sugli ebrei a Barletta

2018· article· it· W2809483541 on OpenAlexaboutno aff
Diego de Ceglia

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languageit
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsJudaismQuarter (Canadian coin)Political scienceHistoryGeographyEconomic historyEconomyEconomicsArchaeology

Abstract

fetched live from OpenAlex

In qusto articolo sono raccolte alcune fonti d'archivio ‒ atti notarili e registri ecclesiastici patrimoniali e contabili ‒ relative alla presenza ebraica a Barletta nei secoli XV-XVI. Dallo spoglio della documentazione, emergono numerosi nomi e utili indicazioni per la localizzazione della Giudecca e della sinagoga locale. Nella breve introduzione è ricordata la funzione strategica di Barletta nel commercio sia marittimo che di terra e, in particolar modo, in occasione delle fiere, alle quali anche gli ebrei erano chiamati a partecipare; sono inoltre sottolineate le azioni di tutela garantite dall'amministrazione centrale nei confronti della locale popolazione ebraica. New documents on the Jews in Barletta In this paper some archival sources ‒ notarial acts and ecclesiastical patrimonial and accounting books ‒ are collected, relating to the Jewish presence in the city of Barletta in 15th and 16th centuries. Many names of Jews in Barletta in that period emerge, as well as useful indications on the location of the Judeca quarter and the local synagogue. The introduction underlines the strategic function of Barletta both in sea and land trade, especially during regular trade fairs, also mentioning the privileges granted by the central government to protect the pecuniary interests of the Jews living there.

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: none
Teacher disagreement score0.030
Threshold uncertainty score0.080

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 studies0.0070.003
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0240.005

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 head0.185
GPT teacher head0.540
Teacher spread0.355 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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