Postmodernising the lady vampire : melancholy, isolation, and the female bloodsucker
Bibliographic record
Abstract
This article focuses on three films that facilitate a demystification of the vampire by resisting the mythological pretext, and often even the horror or romance conventions, of earlier vampire films. While the films in question - The Addiction (Ferrara 1995), Let The Right One In (Alfredson 2008) and Trouble Every Day (Denis 2001) - are undeniably aware of preconceived notions of the vampire, they are more preoccupied with the psychological implications of vampirism as an illness than making reference to any of their precursors. Their emphasis on the burden of vampirism takes away from the conventional vampire advantages such as sex appeal and special powers. While most recent work on the vampire film has focused on direct comparisons between contemporary films, this grouping of specific postmodern examples considers which traits recurrently stray from the conventions. Thus, the focus is not on the fact that each of the films in question depict protagonists that drink blood and have a propensity to kill, but on the way they exclude aspects such as the mythical background story and the erotically mysterious vampire in order to present a more realistic figure, burdened by the weight of his or her intense desire for blood.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".