Bibliographic record
Abstract
This paper offers a broad historical overview of the ideology and cultural roots of horror films. The genre of horror has been an important part of film history from the beginning and has never fallen from public popularity. It has also been a staple category of multiple national cinemas, and benefits from a most extensive network of extra-cinematic institutions. Horror movies aim to rudely move us out of our complacency in the quotidian world, by way of negative emotions such as horror, fear, suspense, terror, and disgust. To do so, horror addresses fears that are both universally taboo and that also respond to historically and culturally specific anxieties. The ideology of horror has shifted historically according to contemporaneous cultural anxieties, including the fear of repressed animal desires, sexual difference, nuclear warfare and mass annihilation, lurking madness and violence hiding underneath the quotidian, and bodily decay. But whatever the particular fears exploited by particular horror films, they provide viewers with vicarious but controlled thrills, and thus offer a release, a catharsis, of our collective and individual fears.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".