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Record W2941705577 · doi:10.62875/tk.v1i0.1036

Jewish quarter in Medieval Lorca (south-eastern Spain)

2019· article· en· W2941705577 on OpenAlexaboutno aff
Aleksandra Chołuj, Krzysztof Gawrecki

Bibliographic record

VenueTurystyka Kulturowa · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of Medieval Iberia
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)ArchaeologyJudaismPeninsulaExhibitionHistoryArchaeological evidenceGenizahDocumentationAncient historyTourismGeography

Abstract

fetched live from OpenAlex

This article provides information about the Jewish community living in Alcalá, a district located within the defensive wall of one of the most important fortresses on the border with the Emirate of Granada (the last Muslim stronghold in the Iberian Peninsula). Before the beginning of the 21st century the existence of the Jewish community was known only from written sources. However, archaeological research which started in 2002 unearthed the exact location of the Jewish quarter. Systematic archaeological work made it possible to compile precise documentation related to the remains of residential buildings and a synagogue. Moveable historical artefacts discovered during field studies enriched the collection of the archaeological museum in Lorca and they are now a part of a permanent exhibition. As the result of these discoveries, Lorca was entered on the list of significant archaeological sites associated with the presence of Jews, along with places such as Toledo, Seville, Cordoba, Segovia and Ubeda. This article attempts to characterize the condition of archaeological tourism in Lorca and the possibilities of its development with regard to archaeological remains of the former Jewish quarter.

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 score0.064
Threshold uncertainty score0.126

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.018
GPT teacher head0.206
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

Citations1
Published2019
Admission routes1
Has abstractyes

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