Around the X: Reflections on Straight Edge, Visuality, and Identity Boundaries
Bibliographic record
Abstract
Abstract | When Minor Threat sang “I’ve got straight edge” back in the 1980s they could not imagine the proportions the straight edge message would achieve in a few years. In São Paulo, the straight edge subculture was consolidated in the 1990s around a collective and its festival Verdurada, which is still active. The dynamics to establish the boundaries of the straight edge identity are complex, usually dealing with several visual aspects. This work aims to shed light onto the visuality of the straight edge subculture and the Verdurada, discussing the place(s) that straight edgers occupy in the 21st century.Résumé | Lorsque le groupe Minor Threat chanté « I’ve got straight edge » dans les années 1980, il ne pouvait pas imaginer les proportions que le message straight edge pourrait atteindre. À São Paulo, le straight edge sous-culture a été consolidée dans les années 1990 autour du festival Verdurada et son collectif homonyme, qui est toujours actif. La dynamique d’établir les limites de l’identité straight edge est complexe, généralement constitué par plusieurs aspects visuels. Ce travail vise à analyser la visualité de la sous-culture straight edge et la Verdurada, en discutant la place qui les straight edgers occupent dans le 21e siècle.
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 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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.018 | 0.020 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".