Bibliographic record
Abstract
This chapter begins by placing Brown in the context of 1980s “newave” minicomics and discusses his eventual move from self-publishing to professional comics publication with the long-running <italic>Yummy Fur</italic> series from Toronto-based Vortex Comic. The chapter also discusses the gradual coming together of Brown’s early long-form serialized narrative “Ed the Happy Clown,” which placed him firmly as one of the rising stars of 1980s alternative comics. In doing so, the chapter reads <italic>Ed</italic> in light of Brown’s interest in surrealism and his refusal to play by established rules of decorum and self-censorship, in an early display of the kind of iconoclasm that would come to be central to his later work. In addition, the chapter discusses Brown’s Gospel adaptations, which provided a curious companion as the second half of each issue of <italic>Yummy Fur</italic>, at the same time that they helped Brown work through his own complicated relationship with Christianity.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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; 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".