Shall Not the Judge of All the Earth Do Right? Theodicies in<i>Watchmen</i>
Bibliographic record
Abstract
While the apocalyptic elements of the graphic novel Watchmen have previously been explored, the theodical elements of that text remain to be studied. This article does so by focusing on the figure of Dr. Manhattan, the almost all-powerful super “hero” who is the equivalent of God in the Watchmen universe. When the world is threatened by a nuclear holocaust, it is Dr. Manhattan who can defuse the threat. For much of the comic, appeals to him to intercede come up against his inhuman ethic and aesthetic, attitudes that are presented as an outgrowth of his capacity to experience the universe at a subatomic level. This theodicy challenges and is challenged by other perspectives in the book, such as anthropocentric perspectives voiced by the Silk Spectre and Rorschach, namely that life ought to be “fair,” or that, in the moral vacuum left by the absent God, humans must impose their own meaning and morality. Rorschach also offers the alternative theodicy that evil arises from human acts, and the demigod Ozymandias suggests that all human suffering is part of a secret, but just, “higher plan.”
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".