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Record W2751808991 · doi:10.1108/aam-12-2016-0025

Second wave true Norwegian black metal: an ideologically evil music scene?

2017· article· en· W2751808991 on OpenAlexaff
Jason Wallin, Jeffrey S. Podoshen, Vivek Venkatesh

Bibliographic record

VenueArts and the Market · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsConcordia UniversityUniversity of Alberta
Fundersnot available
KeywordsIdeologyGood and evilAestheticsSociologyRhetoricLiteraturePhilosophyArtPoliticsLawPolitical science

Abstract

fetched live from OpenAlex

Purpose The second wave (true Norwegian) black metal music scene has garnered attention for its ostensible negative impact upon contemporary consumption. Producers and consumers of the scene, as potential heretics, have been associated with acts of church burning, Satanism, murder, and violence. Such actions have circulated under the signifier of evil, and have been associated with anti-Christian semiotics and pagan practices. Contemporary media has positioned such acts of evil beyond rational comprehension via the deployment of a rhetoric of evil. This enframement has evaded the psychoanalytic question of evil and the significant role of negative ethics in theorizing the allure and potential impact of black metal music. The purpose of this paper is to examine the evil in the music scene, its relation to ID evil, and its consumption and production practices. Design/methodology/approach Drawing upon Zizek’s (2006) development of evil through Lacan’s three registers, this paper examines evil production and consumption through a detailed analysis of true Norwegian black metal. The authors rehabilitate the complex corridors of evil against its conceptual collapse as merely the ontological absence of good. Via Zizek, the authors offer a reconsideration of the anti-establishment violent activities enacted by some proponents of black metal ideology. Herein, the authors deploy a reading of ideological evil in order to interrogate the role of enjoyment and desire at work in the black metal scene. Findings After extensive immersion in the true Norwegian black metal scene, the authors elucidate on the key issues surrounding good, evil and Satanism, and their relationships to production and consumption. What many might term as “evil” is far more complex than what appears on the surface-level aesthetics. Originality/value While there have been examinations of the black metal scene, there has been scant literature that delves deep into the symbolism of the Satanic and the evil beyond the surface. This paper sheds light on the value of exploring evil in a scene as something that is much more than the mere absence of what is considered good.

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, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score0.999

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 studies0.0020.002
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0680.000

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 head0.057
GPT teacher head0.217
Teacher spread0.161 · 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 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

Citations10
Published2017
Admission routes1
Has abstractyes

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