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Record W6997119978

Tunes from a sultans's diary: Musical performances and musicians in the Rüznames of Mahmud I (R. 1730-1754)

2021· other· en· W6997119978 on OpenAlexaboutno aff

Bibliographic record

VenueSabanci University · 2021
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicForensic Entomology and Diptera Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMusicalPeriod (music)Musical formThroneMusical instrumentMusicQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines the musical elements in the rûznâmes (the records of the sultan’s daily activities) of Mahmud I (r. 1730-1754) who occupied the Ottoman throne for nearly a quarter of a century. The examination foregrounds the question of whether these records provide data on and can be useful in writing the history of Ottoman music. Based on the references to music in these sources, this study contributes to our understanding of Istanbul’s musical landscape in the first half of the 18th century. Furthermore, it describes the characteristics of this music and the musical practices of this certain period, along with Ottoman music more generally. The first chapter analyzes musicians’ profiles in and around the Ottoman court according to their socio-cultural and occupational backgrounds; officers, artisans, mosque singers, Sufis, and non-Muslims. The following chapter focuses on the music in the rûznâmes. It details of the genres of music and instruments that the sultan listened to, illuminates Mahmud I’s musical tastes, and the musical genres and the instruments that were popular in the first half of the 18th century. Finally, the third chapter explores the locations where the musical performances for the sultan took place. It also tries to shed light on Mahmud I’s Mevlevî inclinations.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.181
Teacher spread0.169 · 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 teacher head, 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
Published2021
Admission routes1
Has abstractyes

Explore more

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