DEREK N. C. WOOD, 'Exiled from Light': Divine Law, Morality, and Violence in Milton's Samson Agonistes. Pp. xxii + 247. Toronto, Buffalo, London: University of Toronto Press, 2001. 35.00 (ISBN 0 8020 4848 X).
Bibliographic record
Abstract
AT last there is a book that does not celebrate a regenerated Samson slaughtering the Philistines with God's and Milton's unanimous approval, as the chant of recent criticism has done. And a good book to boot. Though Wood emphasizes the dark sides of Samson's character, he does not deny him the biblical status as a hero of faith. Unlike Wittreich, who sought to establish a contextual tradition of interpreting Samson as an anti-Christ, he concentrates on the text gathering the evidence of Samson's uncharitable behaviour. The thesis of Wood's study seems like a compromise between the orthodox and heterodox interpretations – Samson acts in faith, but in an Old-Testament fashion; his action is so savage because he is still ignorant of Christ's example. This point is so simple that within the opening chapters the reader may easily be rocked by its monotonous rhythm. Wood also argues that Milton's dramatic poem is full of intertextual allusions to Hebrews reminding the reader that the tragedy reflects the harshness of human experience under the Law.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.037 | 0.008 |
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".