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Enregistrement W4386778313 · doi:10.2979/tur.2022.a902164

Toward an Ontology of Trans-Imperial Ottoman Chancery Genres

2022· article· en· W4386778313 sur OpenAlexaboutno aff
E. Natalie Rothman, Kirsta Stapelfeldt, Erdem İdil, Vanessa McCarthy, Qaasim Karim

Notice bibliographique

RevueJournal of the Ottoman and Turkish Studies Association · 2022
Typearticle
Langueen
DomaineSocial Sciences
ThématiquePhilippine History and Culture
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)TurkishDisciplineOntologyScholarshipSociologyLibrary scienceHistoryClassicsPolitical scienceArchaeologyComputer scienceLawLinguisticsSocial sciencePhilosophy

Résumé

récupéré en direct d'OpenAlex

Toward an Ontology of Trans-Imperial Ottoman Chancery Genres E. Natalie Rothman (bio), Kirsta Stapelfeldt (bio), Erdem Idil (bio), Vanessa McCarthy (bio), and Qaasim Karim (bio) KEYWORDS digital ontology, genre, early modern, translation, bilingual registers Our project aims to shed light on the trans-imperial nature of Mediterranean diplomatic chancery production by considering the multiple entanglements between Ottoman and Venetian genres, textual artifacts, practices, and practitioners in early modern Istanbul. It is part of The Dragoman Renaissance Research Platform, which facilitates research into the personal and professional trajectories and textual and visual practices of dragomans (diplomatic translator-interpreters) employed by the Venetian bailate (permanent residency) in the Ottoman capital and beyond. The platform offers a range of data sets related to dragomans' activities that can be dynamically edited, analyzed, and augmented, modeling collaboration and resource sharing among scholars and students from a range of disciplinary perspectives interested in processes of cultural mediation in the early modern Mediterranean. The project harnesses the power of a multilingual, multi-disciplinary, and multi-generational collaborative team and the unique institutional context of the University of Toronto Scarborough. An ongoing collaboration between two principal investigators, E. Natalie Rothman (a historian) and Kirsta Stapelfeldt (a digital librarian) has allowed us to combine long-term infrastructural commitments and expertise from the Digital Scholarship Unit of the University of Toronto Scarborough Library with specialized contributions from numerous postgraduate, graduate, and undergraduate research assistants. Over the years, students have brought to the project unique linguistic competencies [End Page 77] (e.g., early modern Ottoman Turkish and Italian paleographies, Serbo-Croatian) and varied digital skillsets (scripting, mapping, data analytics). With long-term institutional support for the project's scoping, hosting, maintenance, and software update, we have been able to dedicate available "soft" funding (most recently: from the University of Toronto's work-study program and the Jackman Humanities Institute's Scholars-in-Residence program, as well as a multi-year Insight Grant from the Canadian Social Sciences and Humanities Research Council) to defray research assistantships and—pre-pandemic—research travel costs. The relative stability afforded by a strong institutional backing has also allowed us to forge a variety of collaborative sub-projects with subject-area experts (Ottomanists, translation studies scholars, historians of archives and knowledge production, data scientists, and open-source software developers) beyond the University of Toronto. The new phase of the project aims to create an ontology—an explicit, formal specification—of the relationships among Venetian and Ottoman terms for chancery genres, government positions, administrative units, and honorific titles, as found in a particular archival fond known as Carte turche ("Turkish Charters"). This fond, part of the Bailo a Costantinopoli series, is today housed in the Venetian State Archives, but was created and continuously elaborated in the Venetian bailate in Istanbul from 1589 to 1785. It consists of a series of some forty bound registers containing roughly two thousand copies of sultanic orders and other records issued by the imperial divan that are matched with facing Italian translations produced and often signed by specific bailate dragomans.1 The initial phase of the project entailed transcription, transliteration, and metadata creation for each record in this vast corpus. The current phase aims to use data analytics to better understand both the relationships between individual Ottoman and Italian records and specific textual practices throughout the corpus: for example, the shifting relationship between Ottoman and Venetian terms for chancery genres, government positions, administrative units, and honorific titles. Our current workflow involves atomizing information concepts—documents, archival artifacts containing them, images that represent these artifacts, persons, and agencies represented in the documents or responsible for their production, and terms used to describe all of the above, including genre terms, honorific titles, and administrative positions. Defining these information concepts as separate and unique, yet interrelated in plural and shifting configurations underpins the process of creating linked data. Unlike information [End Page 78] architectures of the past, which codified conclusions in pre-defined relational databases, this method of structuring information allows for ongoing aggregation and mutable understandings of the subjects being described and their potentially indeterminate and multiple relationships. By following linked data principles, our intent is to account for variation in how specific terms...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,616
Score d'incertitude au seuil0,783

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,038
Tête enseignante GPT0,309
Écart entre enseignants0,271 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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