Bibliographic record
Abstract
Abstract Modern retellings of the Flood pericope (Genesis 6–8) depend on the age of the targeted audience. Writing for adults, Wolfdietrich Schnurre, Brigitte Schär, Timothy Findley, and Anne Provoost ask whether universal annihilation can be justified. Their criticism of the divine notion that evil is universal and indiscriminate collective punishment is therefore justified, reveal values that are incompatible with those informing the original biblical narrative. However much modernity is aware that myths are symbolic, it apparently cannot assimilate their ethics without a critical reassessment. In this, modern writers rely on the realistic premises of modern novelistic narration. In contrast, modern retellings of the Flood story for children appear to be far more prepared to accept the ancient value system underlying the biblical narrative. Books for younger audiences seem to be much more comfortable with the notion of generalized evil and global punishment than works for adults. This becomes particularly striking in a number of picture books about Noah's ark. The narrative stance of writers ultimately depends on the way they perceive adulthood and childhood.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".