Learning punk through its products: Combining fashion merchandising practices and pedagogy to develop a subculture of resistance
Bibliographic record
Abstract
Punk is a lifestyle, ethos and perspective that deals with social unrest and personal discontent. Learning models are applied as framework in this research to contemplate how punk is learned and enacted as a lifestyle by going through daily fashion merchandising and social practices, such as how punks engage with artefacts and the rules of their scene. The punk subculture uses a pedagogy to their fashion production and consumption, employing the garments of their sartorial style with community interactions to create and symbolize their ethos. The community interacts in unision as newcomers to the scene learn from established participants, take in the knowledge available to them, and shift to self-produced ideas to develop their individualized punk ethos. This study used qualitative online surveys, in-person interviews and social media discussions from self-identified punks in the United States and Canada, as well as archival visits to punk-themed collections in order to analyse the experience of individuals who produce, consume and communicate their punk ethos through their garments.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".