‘Divine Offspring’: Richard Hooker’s Neoplatonic Account of Law and Causality
Bibliographic record
Abstract
Abstract Richard Hooker’s (1554-1600) adaptation of classical logos theology is exceptional and indeed quite original for its extended application of the principles of Neoplatonic apophatic theology to the concrete institutional issues of a particular time and place-the aftermath of the Elizabethan Religious Settlement of 1559. Indeed, his sustained effort to explore the underlying connections of urgent political and constitutional concerns with the highest discourse of hidden divine realities-the knitting together of Neoplatonic theology and Reformation politics-is perhaps the defining characteristic of Hooker’s distinction mode of thought. Hooker’s ontology adheres to a Proclean logic of procession and reversion (processio and redditus) mediated by Aquinas’s formulation of the so-called lex divinitatis whereby the originative principle of law remains simple and self-identical as an Eternal Law while it emanates manifold, derivative and dependent species of law, preeminently in the Natural Law accessible to human reason and Divine Law revealed through the Sacred Oracles of Scripture. For Hooker, therefore, ‘all thinges’-including even the Elizabethan constitution in Church and Commonwealth, are God’s offspring: ‘they are in him as effects in their highest cause, he likewise actuallie is in them, the assistance and influence of his deitie is theire life.’
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.024 |
| Scholarly communication | 0.005 | 0.006 |
| 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".