Dr. Strangelove or How I Should Stop Worrying and Love Fascism
Bibliographic record
Abstract
This paper presents a Foucauldian discourse analysis of Stanley Kubrick’s Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb. The analysis examines linguistic and extralinguistic aspects of both the film and the novel. It is composed of three parts: the first is an analysis of the Manichaeism during the Cold War period and how it turned the Soviets into mortal enemies of the United States; the second is how the nuclear threat and the Cold War paranoia could destroy the democratic system in the United States; and the third analysis explain how Fascistic relations could be cultivated through the discipline of bodies. It has been concluded that the movie is presenting a concept, here referred to as Strangelove’s Hypothesis, that a Strangelovian scenario (i.e., a nuclear holocaust, usually caused by incompetence or without the will to do so) could lead to the emergence of a Fascistic-like form of government in order to restore security. The solution presented to avoid such scenario is a sociopsychological change in order to pursue more peaceful relations.
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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 | 0.013 |
| 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 | 0.001 | 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".