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Record W4392116104 · doi:10.1017/9781802701593.009

Commentary and Multilingualism in the Ottoman Reception of Texts: Three Perspectives

2023· other· en· W4392116104 on OpenAlexaff
Aslıhan Gürbüzel, Sooyong Kim, Jeannie Miller

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMultilingualismLinguisticsHistoryArtPhilosophy

Abstract

fetched live from OpenAlex

Introduction by Jeannie Miller As a scholar of medieval Arabic literature, I often find myself in a predicament. In the manuscript sources underpinning my research, I find comments, variants, shifts in chap-ter structure, and other scribal and scholarly interpretations. These accretions are often insightful and significant, and they sometimes relate in interesting ways to the history of modern scholarship. But as I go about constructing arguments and textual interpre-tations, wishing to integrate the insights of the tradition or provide a critical history of prevalent understandings, I am uncertain about how to contextualize this rich and vibrant early modern cultivation of medieval Arabic texts. Throughout the nineteenth and most of the twentienth century, a “decline paradigm,” now widely critiqued, discouraged the study of Islamicate history and culture during the roughly five centuries between the Mongol conquest of Baghdad in 1258 and Napoleon's invasion of Egypt in 1798. This pall has dissipated in recent decades, leading to a burst of vibrant scholarship on early modern Islamic societies, and in the past few years we have seen increased scholarship on Ottoman Arabic literary production in particular. When it comes to the early modern Arabic language arts (philology and literature), the Maghreb and the majority Arabic-speaking provinces of the Ottoman empire have been the main focus of scholarship, though recently Arabic literary production and philology in majority Turkish-speaking territories and the Persianate Safavid and Mughal empires have received some limited attention. But Dana Sajdi's remarks about Ottoman intellec-tual history apply just as well to studies of Ottoman-era Arabic literature: scholars have “not sought to link these intellectual trends to those occurring at the imperial centre, probably because most modern scholars are proficient in either Arabic or Ottoman, but rarely in both.” The prolific and important body of Turkish-language scholarship is “not widely known internationally,” among Arabic literary scholars or Islamic Studies schol ars. National linguistic boundaries still often shape researchers’ perspectives, despite the widely acknowledged multilingual character of early modern Islamicate literary cul-ture, which worked among Arabic, Persian, and Turkish. When it comes to the Arabic language arts, the situation is complicated by an exaggerated interpretation of the Otto-man perception that Persian was a literary language, whereas Arabic was the language of the sciences, especially the religious sciences.

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)0.005
metaresearch head score (Gemma)0.008
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: Other · Consensus signal: Other
Teacher disagreement score0.069
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0210.039
Scholarly communication0.0140.006
Open science0.0020.009
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.034
GPT teacher head0.344
Teacher spread0.310 · 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
GenreOther

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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