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Record W7043344447

The Synagogue of Los Golondrinos of Toledo: An Archaeological Study

2023· article· es· W7043344447 on OpenAlexaboutno aff

Bibliographic record

Venuee-rph (University of Granada) · 2023
Typearticle
Languagees
FieldArts and Humanities
TopicHistorical Studies of Medieval Iberia
Canadian institutionsnot available
Fundersnot available
KeywordsExcavationQuarter (Canadian coin)Archaeological evidenceJudaismIntervention (counseling)
DOInot available

Abstract

fetched live from OpenAlex

In the Alacava neighborhood, within the Jewish quarter of Toledo, archaeological studies and excavations have been carried out, providing information about the existence and location of the Synagogue of Los Golondrinos. However, it was in the year 2020 when the current archaeological intervention was conducted, definitively confirming the presence of this building. This makes it one of the 12 synagogues that Toledo is known to have had, as indicated by bibliographic documentation. The quantity of remains that have been uncovered is astonishing and provides insights into aspects such as the interior partitioning and organization. Combined with the discoveries from the previous intervention in the adjacent building, we now have an overall view of the structure. This allows us to formulate hypotheses about its relationship with other nearby buildings and structures. This study focuses on presenting the Synagogue of Los Golondrinos, which is one of the best peninsular examples of a late medieval neighborhood synagogue.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.032
GPT teacher head0.227
Teacher spread0.195 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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