Bone in the Throat: Video archiving and identity building within the Montreal hardcore scene
Bibliographic record
Abstract
During the 1990s and early 2000s, the Montreal hardcore scene was a vibrant, thriving and dynamic subculture with a strong sense of community. The generational and cyclical nature of such scenes has led, over the past two decades, to a significant crowd turnover with older people leaving and newcomers taking over. However, through the emergence of an Instagram account created by a man named Andy Chico Mak, its past memories are resurfacing. The recent dissemination of the Bone in the Throat series on social media, along with other archives including flyers, interviews and never-seen-before footage from the era, sparks a series of questions regarding the role and impact of archiving subcultures. Since the archival turn in social sciences, archives are considered as a reflexive and constitutive process of identity building and collective memory creating. In the case of subcultures, often overlooked by official heritage institutions, the importance of understanding archives as a site of cultural production is paramount. The collection and preservation of self-produced documents is key to scholars in order to understand the social and political dynamics at the heart of those communities. This article analyses the impact of years of video archives, gathered and organized through the work of Andy Chico Mak, in the process allowing the creation of collective memory and the development of ‘scene identity’. By relating to contemporary conversations about archiving subcultures, it also provides insight into the impact of new technologies and the creation of ‘subcultural collective memory’.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".