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Record W3001717144 · doi:10.7146/se.v9i1.112804

The soundscape of Islamic populism

2020· article· en· W3001717144 on OpenAlexaff
Nil Basdurak

Bibliographic record

VenueSoundEffects - An Interdisciplinary Journal of Sound and Sound Experience · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIslamPopulismIdeologySoundscapeSociologyNationalismMedia studiesOpposition (politics)Public sphereRhetoricPublic spacePoliticsAppropriationLawAestheticsPolitical scienceHistoryArtSound (geography)EpistemologyLinguisticsEngineeringPhilosophy

Abstract

fetched live from OpenAlex

Focusing on the failed coup attempt organized by a faction within the Turkish Armed Forces on July 15, 2016, this paper examines the soundscape of Islamic populism (Hadiz, 2016) as embraced by Turkey’s ruling Justice and Development Party (AKP) and its affective-auditory publics. Drawing on Althusser’s theories of ideology and interpellation concerning the Islamic call (Spadola, 2014), I explore AKP’s strategic use of Islamic sound as affect in governmentalizing urban space in order to understand the role that sound played in galvanizing support against the attempted coup. During the first twenty-four hours of the coup attempt, systematically regenerating discursive modes of Islamic rhetoric and sounds, utilizing the narratives of democracy, nationalism, and treachery to mobilize its publics, AKP re-cultivated the already existing polarized identity politics and recreated the sectarian spaces of belonging and otherness. I argue that AKP’s appropriation of sonic and aural qualities of Islam – particularly the public recitation of Sala (a form of Islamic call) – purposefully rechannelled the “ethical listening” (Hirschkind, 2006) of pious selves into a politically (re)functionalized listening in the populist reproduction of an Islamic soundscape. Such reproduction of the urban soundscape was responded to in a variety of ways by the mobilized auditory publics in service of the party while creating silenced private spaces of opposition. NB: The article contains sound examples. In order to listen to embedded audio files, you must first download the pdf file and then open it with Adobe Acrobat.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.026
GPT teacher head0.353
Teacher spread0.327 · 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.

Study designQualitative
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

Citations4
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueSoundEffects - An Interdisciplinary Journal of Sound and Sound ExperienceSame topicTurkey's Politics and SocietyFrench-language works237,207