Bibliographic record
Abstract
This article considers straight edge bands as having a “prophetic voice” in a seemingly “secular” subculture, simultaneously critiquing the present and envisioning an alternative future in the tradition of punk and many other forms of music. Straight edge is a global clean-living subculture with roots in the hardcore music scene. The author shows that collectively, straight edge “preachers” inspire many participants to action, to make changes in their lifestyles and engage in contentious politics. The scene and identity become reference points as participants expose and critique social inequalities including racism, patriarchy, and speciesism, amongst others. The author demonstrates that the prophetic imagination is collective, rather than individual; often “secular,” though still imbued with sacred meaning; and especially powerful when embodied by a diversity of marginalized voices. The author concludes by discussing the relationship between individuals, groups, and social structures, considering subcultures as meso-level “laboratories” where participants adopt, create, negotiate, practice, and contest broader social changes. Such groups and meso-level communities serve as spaces of experimentation, where participants engage at the micro-level with broader, macro-level problems.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.050 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".