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Record W2620202201 · doi:10.7202/1039656ar

Modern singing sons of the Pharaohs

2017· article· en· W2620202201 on OpenAlexaffvenue
Carolyn Ramzy

Bibliographic record

VenueEthnologies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsOrientalismModernityPoliticsLiteratureHistoryHymnArtPhilosophyLaw

Abstract

fetched live from OpenAlex

In 2009, the U.S. Library of Congress officially launched the Ragheb Moftah Collection, an online exhibit that presented the largest music archive of Coptic liturgical recordings and music transcriptions outside of Egypt. Moftah, an amateur Egyptian collector, had commissioned an English composer, Ernest Newlandsmith, to notate and record the entire Orthodox hymnody. They both believed that, as the last connection to a Pharaonic and pre-Islamic past, the ancient melodies lay unchanged, “buried under a debris of Arabic and other ornamentation.” Drawing on Wendy Cheng’s notion of strategic orientalism (2013) and Timothy Mitchell’s staging modernity (2000), I explore contemporary discursive politics of sound archives in the Coptic community. Specifically, I investigate the role of Coptic music archives in articulations of community legitimacy, indigeneity, and agency as a religious and political minority in a Muslim majority nation. How have today’s cantors and activists rendered western transcriptions as sound objects which to negotiate authenticity as Egypt’s last remaining “modern sons of the pharaohs,” even without being able to read them? As the principal curator of the site, I explore how Western scholarly encounters have not only entangled Coptic music discourses in a western-centered teleology of modernity and progress, but in emulating the West, also infused them with orientalist critiques that equated heterophony and embellishments to “Arab debris” that marked signs of backwardness.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.002

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 head0.213
GPT teacher head0.287
Teacher spread0.075 · 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
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

Citations2
Published2017
Admission routes2
Has abstractyes

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