What If God is a ‘Pagan Amalgam’: Marilynne Robinson and Historical Bible Scholarship
Bibliographic record
Abstract
Abstract Marilynne Robinson is one of the most influential Christian writers and public intellectuals alive today, and her views on a range of topics should be taken seriously. In her 2015 essay entitled ‘Memory’, she argues that the ‘liberal side’ of American Christianity has retreated from scriptural theology under pressure from academic biblical criticism. Her dismissal of Hebrew Bible scholarship is centred on two primary and interrelated ideas. First is the idea that Israelite religion was embedded in a broader context of Ancient Near East (ANE) religious cultures, such that biblical stories and characters sometimes borrow from other ancient sources. Second is the problem that the scholarly understanding of ancient Israelite polytheism threatens to make God into a ‘pagan amalgam’. The interrelated problem, that is, is the uniqueness and transcendence of the Hebrew Bible, and the God who is its main character. In this article, I review the scholarship on ancient Israelite religion and Robinson’s complaints about it. I argue that Robinson treats the critical scholarship only at a distance, allusively, (mis)representing it and sometimes (mis)understanding it in superficial ways, but that her theological anxiety is warranted.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".