‘Ancien folklore québécois’: An analysis of the phonographic and identity-based narrative of the métal noir québécois community
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.017 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".