The Evolution of Apocalyptic Determinism
Bibliographic record
Abstract
That determinism occupies an integral place within apocalypticism’s notional architecture is routinely acknowledged in scholarship. However, examinations of determinism’s conceptual structure and function within Jewish and early Christian apocalypticism are lacking. Moreover, where determinism has been treated within this context, it is frequently framed by the language and definitional constructs of contemporary philosophical and popular discourse. The effect of this approach is to obscure the conceptual coherence which underlies the texts. \nIn light of this gap in scholarship, I examine determinism and human moral agency within four Jewish historical apocalypses: the biblical book of Daniel chaps. 7-12, The Animal Apocalypse, 4 Ezra, and 2 Baruch. This analysis eschews the framework of contemporary philosophical and popular discourse in an effort to understand the way in which apocalyptic determinism coheres with conceptualizations of human moral agency within the texts themselves. From this analysis, it is my contention that: 1) a stable, conceptual core of an “early Jewish apocalyptic determinism” persists across the four apocalypses, which together correspond to a period of approximately 300 years; 2) 4 Ezra and 2 Baruch reflect two distinct developmental directions for “early Jewish apocalyptic determinism;” and 3) across the four apocalypses, “early Jewish apocalyptic determinism” contributes to the texts’ social function in a consistent manner.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.039 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| 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".