MétaCan
Menu
Back to cohort

Autotuned Belonging: Coptic Popular Song and the Politics of Neo-Pentecostal Pedagogies

2016· article· en· W2526619468 on OpenAlex

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

VenueEthnomusicology · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsCarleton University
Fundersnot available
KeywordsCONTESTChristian ministryNegotiationPoliticsArtSociologyVisual artsLiteratureAestheticsHistoryPolitical scienceLawSocial science

Abstract

fetched live from OpenAlex

Abstract Maher Fayez is arguably the most famous Christian televangelist in Egypt, appearing in a vibrant satellite and digital ministry online where he sings the popular genre of Coptic Christian songs, taratīl. As his performances largely depend on the mediated and Auto-Tuned voice, I investigate how Fayez’s use of an electronicized and cyber ministry merges both visual and auditory sensibilities to help his audiences attune to Christian and ‘alternative modernities.’ How does his use of global neo-Pentecostal pedagogies and popular music technologies contest Coptic Orthodox Church authority? More importantly, how do they negotiate various modes of Egyptian Christian-belonging following the January 25, 2011 Uprising?

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.729

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 studies0.0000.002
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 head0.051
GPT teacher head0.270
Teacher spread0.219 · 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