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Record W2972988915 · doi:10.1386/mms.5.3.379_1

‘Ancien folklore québécois’: An analysis of the phonographic and identity-based narrative of the métal noir québécois community

2019· article· en· W2972988915 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMetal Music Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsNarrativeFolkloreNationalismLiteratureIdentity (music)Narrative inquiryIdeologyFolkloristicsSociologyGender studiesHistoryAestheticsArtPolitical science

Abstract

fetched live from OpenAlex

Black metal is often considered as being one of the most transgressive subgenres of extreme metal music, especially because of its thematic (e.g. Satanism, nationalism, national socialism). In Québec (Canada), the black metal scene – and more specifically the métal noir québécois (MNQ) community – uses themes linked with nationalism, which are transmitted through French lyrics and folk music. Thus, I argue that MNQ members, through their music and discourses, are building a phonographic narrative and an identity-based narrative, which takes its root in Québec’s history and black metal ideology. In order to identify the phonographic narrative of MNQ, I will analyse a song from MNQ repertoire, ‘Ancien folklore québécois’ (Neige et Noirceur 2010), by focusing on the textual narrative elements, while linking them with the musicological parameters of popular music. Finally, I will focus on the concept of identity-based narrative by using the discourses of the community’s members gathered through ethnographic interviews.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.003
Scholarly communication0.0000.000
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 head0.036
GPT teacher head0.293
Teacher spread0.258 · 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