Bibliographic record
Abstract
In the fourth century ce we can begin to see the tide shifting in favour of Christianity over paganism. The murder of Hypatia, daughter of the philosopher Theon of Alexandria, in 415, is emblematic of the ominous turn from mere intellectual controversy to political power struggles begun a century earlier. Prior to the tipping point that was Constantine’s conversion around 312, Alexandria flourished as a polyglot and multicultural intellectual centre of the Mediterranean world. We have considerable evidence of Christians and non-Christians studying together under some of the famous philosophers of the time. Probably in early Alexandria even more than in Rome, there were genuine encounters of philosophy and religion. The writings of Philo and Clement are only two early examples of these. Lamentably, there is a dearth of extant philosophical material from Alexandria in our period, though we have accounts of an extremely active academic community. With regard to the natural and mathematical sciences, however, there is a substantial amount of material, focused principally on development of the scientific heritage of Ptolemy. Here we see, for example, in the practice of astrology a focal point for the confluence of philosophy, religion and science. The enduring theme of providence and fate, too, will be a battleground for opposing world views. It is natural to see in the Christian responses to the Hellenic views on these matters the lineaments of Biblical theology.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.278 | 0.153 |
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".