Revenge Is a Genre Best Served Old: Apocalypse in Christian Right Literature and Politics
Bibliographic record
Abstract
Apocalypse is a phenomenology of disorder that entails a range of religious affects and experiences largely outside normative expectations of benevolent religion. Vindication, judgment, revenge, resentment, righteous hatred of one’s enemies, the wish for their imminent destruction, theological certainty, the triumphant display of right authority, right judgement, and just punishment—these are the primary affects. As a literary genre and a worldview, apocalypse characterizes both the most famous example of evangelical fiction—the Left Behind series by Tim LaHaye and Jerry Jenkins—and the U.S. Christian Right’s politics. This article’s methodological contribution is to return us to the beginnings of apocalypse in Biblical and parabiblical literature to better understand the questions of theodicy that Left Behind renews in unexpected ways. Conservative white Christians use apocalypse to articulate their experience as God’s chosen but persecuted people in a diversely populated cosmos, wherein their political foes are the enemies of God. However strange the supersessionist appropriation, apocalypse shapes their understanding of why God lets them suffer so—and may also signal an underlying fear about the power and attention of their deity.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.035 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 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".