THE BRAIN THAT WOULDN'T DIE AND BOXING HELENA: DESIRE AND THE DISMEMBERMENT OF THE FEMALE BODY
Bibliographic record
Abstract
The author compares The Brain That Wouldn't Die, a 1960 B-movie with Jennifer Chambers Lynch's Boxing Helena (1993) in order to show how spectators not only take on the sadistic position which has long been thought to be the one position informing Hollywood cinema but tend to shift between different positions, including masochistic positions. Both movies relate the fetish fantasies of a doctor: in both narratives, the protagonists artificially maintain alive dismembered female bodies. In neither movie is the desire that produces these fetish fantasies clearly critiqued. To some extent, the Oedipal conflict might explain the sexual neuroses of the protagonists. However, both movies have the spectator shift the identification process from one character to the other. In Boxing Helena, such shifts in spectator identification are mirrored on the screen, creating a critique of film, film theory, and voyeurism.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".