Undoing Babel: The Tower of Babel in Anglo-Saxon Literature
Bibliographic record
Abstract
The Tower of Babel narrative is one of the most memorable accounts of the Bible, and its interpretative potential has produced a vast array of literary adaptations. Undoing Babel is the first extensive examination of the development of the Babel narrative amongst Anglo-Saxon authors from late antiquity to the eleventh century. Tristan Major's illuminating and original insight into Anglo-Latin and Old English works, including the writings of Aldhelm, Bede, Alcuin, ?lfric, and Wulfstan, reveals the cultural ideologies and anxieties that transformed the Babel narrative. In doing so, Major argues that these Babel narratives provide a basis for understanding the world's ethnic and linguistic diversity as well as a theological stimulus to evangelize non-Christian and non-European people. Undoing Babel highlights the depth of literary innovation in this period and disproves any notion of a single Anglo-Saxon reception of biblical sources. University of Toronto Press 2018. All rights reserved.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".