Bibliographic record
Abstract
This chapter describes Canadian film-maker David Cronenberg as one of the most highly regarded auteurs within the horror genre. During the 1970s and 1980s, from low-budget independents to high-profile studio productions, the viewing of a 'David Cronenberg film' usually promised horror audiences a unique and disturbing experience. Coinciding with advances in make up and special effects, and the rise in popularity of the artists who created them, Cronenberg's films spearheaded one of the most popular sub-genres of the 1980s in the form of 'body horror'. The chapter looks at how and why this sub-genre emerged, a product of technological, commercial, and cultural changes in the industry, and how it relates to the 'transformation' films that had gone previously. It also discusses how such a distinctive director as Cronenberg was able to produce a successful mainstream horror film (The Fly, 1986) while remaining true to his own world view, and the lasting influence of his work on the genre as a whole.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.006 |
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".