Bibliographic record
Abstract
Comic Gothic: An Edinburgh Companion explores the role of irony, satire, parody, pastiche and the absurd in Gothic texts dating from the eighteenth to the twenty-first century. Seventeen contributors explore the affective paradox of Comic Gothic, that is its tendency simultaneously to appal and amuse. Scholars now agree that Comic Gothic is not merely comic relief; rather, it is intrinsic to a mode of writing that has been hybrid since its very inception. In this light, distinguished contributors subtly reassess the fictions of, among others, Edgar Allan Poe, Charles Dickens, Oscar Wilde and Edith Wharton. Other chapters explore topics such as the Jewish perspective on the Comic Gothic; the use of Comic Gothic in Youth Literature; and Comic Gothic in the social media, popular culture and the visual domain, including film, music videos and TikTok. The volume’s range of material is wide both historically and geographically, with essays examining the use of Comic Gothic in the United Kingdom, the United States, Canada, Thailand, India and New Zealand. The result is an essay collection that provides a valuable examination of the complex cultural function of Comic Gothic and confirms the claim that, in mingling emotional opposites such as mirth and terror, it offers an important critique of history, society and politics.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.051 | 0.010 |
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".