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Record W2033724715 · doi:10.1163/15685195-00214p03

Translating Ottoman Justice: Ragusan Dragomans As Interpreters of Ottoman Law

2014· article· en· W2033724715 on OpenAlex
Selma Zečević

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIslamic Law and Society · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicBalkans: History, Politics, Society
Canadian institutionsYork University
Fundersnot available
KeywordsTurkishInterpreterEconomic JusticeInterpretation (philosophy)LawPolitical scienceState (computer science)HistoryLinguisticsPhilosophyComputer science

Abstract

fetched live from OpenAlex

This article focuses on strategies of legal translation and interpretation adopted by dragomans of the Ottoman tributary state of the Republic of Ragusa. Based on hüccet s, iʿlām s and draft-documents ( minute ) from the Turkish Chancellery of the Republic of Ragusa that shed light on the multiple roles played by Ragusan dragomans in Ottoman-Ragusan legal exchanges, I argue that these Ragusan expert-linguists were not disinterested parties in these legal communications; rather, they actively shaped and controlled the content of information in Ottoman-Ragusan legal interchanges, thereby influencing the outcomes of legal cases involving Ragusan litigants.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.686
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.283
Teacher spread0.272 · 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