"I've never murdered anyone in my life. The decisions are up to them.": Ethical Guidance and Cultural Pessimism in the Saw Series
Bibliographic record
Abstract
In this article, we examine the ethical vision presented in the Saw series of films, focusing in particular on how it represents a trend within popular culture post-9/11 toward increasing cultural pessimism. We will locate the Saw films within this cultural trajectory, primarily focusing on the "games" and the use of torture and how these rituals disturb a clear moral and ethical vision as the franchise moves unsteadily between conservative and liberal ideologies. Human beings, the films show, are riddled with vice and invariably cannot, even when put in a life or death situation, develop the self-awareness to overcome them. Indeed, humans have become so debased and disconnected from life that those liberal, progressive attempts to help them and legal attempts to sanction them are doomed to failure. In the end, the only way in which they can be "saved," and social order be protected, is through vigilantism and a never-ending cycle of torture.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.009 |
| 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".