If Paul's answer to Caesar is the empire of Jesus, what is an empire under the rule of this new lord? How does Paul's gospel line up with Caesar's empire?
Bibliographic record
Abstract
About the Author: The Dean of Lichfield, one of England's oldest cathedrals, N.T.Wright is a New Testament theologian who has taught New Testatment Studies at Oxford, Cambridge, and McGill Universities. His monographs on Jesus and Paul within their Jewish and pagan contexts include: The Climax of the Covenant: Christ and the Law in Pauline Theology (1991); Theew Testament and the People of God (1992); and Jesus and the Victory of God (1996). Popular studies include: Who Was Jesus? (1993); The Crown and the Fire (1992); Following Jesus: Biblical Reflections on Discipleship (1995); The Lord and His Prayer (1996); The Original Jesus: The Life and Vision of a Revolutionary (1996); and What St. Paul Really Said (1997). I am honoured to be lecturing in this famous institution, and my wife and I are deeply grateful for the welcome and hospitality that you have showered upon us. In particular, as one who has been out of academic institutional life now for five years, I relish the prospect that an occasion like this provides for interaction with colleagues and friends from various disciplines.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".