Bibliographic record
Abstract
The dominant approach to ethics in the fifteenth-century Jesus cult was oriented towards the deep ken. The chapter begins with an overview of what such ethics looked like, and then zooms in on two particular themes, investigating the deep-ken approach to issues of pacifism and vegetarianism. Neither resembles our modern attitudes towards ethics, and deep-ken vegetarianism was only tenuously linked with ethics at all. This century saw related shifts from the deep to the plain ken: from a history that transcended time to a history fractured in the first century and bent once or twice after that, from an ethics based on symbolic consonance to a constructed, articulated ethics, and from a peace based on universal harmony to one based on the actions and emotions of humans. With a focus on Jesus’s Sermon on the Mount and its consequences, this chapter outlines this shift by considering both people committed to non-harm (the Waldensian Poor of Lyon, Nicholas of Hereford, Nicholas of Dresden, Petr Chelčický, Francis of Paola) as well as radical conservatives (Luke of Prague, Erasmus) who took plain-ken paths to more moderate positions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| 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 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".