Bibliographic record
Abstract
My distinguished friend, You ask me for my opinion of mutual toleration among Christians. I reply in a word that it seems to me to be the principal mark of the true church. Antiquity of titles and places of worship which some people boast of, the reformation of doctrine that others stress, the orthodoxy of one's faith that everyone claims (for everyone is orthodox in their own eyes) – these things are likely to be signs of competition for power and dominion rather than marks of Christ's church. A person may have all of them and still not be a Christian, if he lacks charity, gentleness, and goodwill toward all human beings and toward those who profess the Christian faith in particular. ‘The kings of the Gentiles exercise lordship over them,’ says our Saviour to his disciples, ‘but ye shall not be so’ (Luke 22: [25], 26). True religion has a different object. It did not come into the world in order to establish outward pomp and ecclesiastical domination and violence, but to ground a life of goodness and piety. Anyone who wishes to enlist in Christ's church must, more than anything else, declare war on his own vices, on his own pride and lust. Without holiness of life, purity of morals, goodness of heart, and gentleness, any aspiration to the name of Christian is unjustified.
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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.015 | 0.018 |
| Insufficient payload (model declined to judge) | 0.039 | 0.012 |
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".