Bibliographic record
Abstract
The program of the day-long conference ranged from an examination of the spread of Christianity in Syria and Mesopotamia to a review of modern scholarship on the subject of Syriac Christianity, demonstrating the scope of scholarship in this field.[2] After a word of greeting from the Chair of the Department of Near and Middle Eastern Civilizations at the University of Toronto, Professor James Reilly, the symposium began with a paper by the host, Professor Amir Harrak.His lecture, entitled "Trade Routes and the Christianization of the Near East" began with two of the most important Syriac sources, the Teaching of Addai and the Acts of Mari.These two documents suggest that the spread of Christianity in the Near East was due primarily to a programmed apostolic mission.Prof. Harrak presented an alternative analysis of these texts, proposing that Christianity was transmitted throughout Syria and Mesopotamia along trade routes and with the help of merchants.Other religions and sects, including Judaism, Manichaeism, Buddhism, and Islam, spread in this same manner, thus it is not difficult to imagine Syriac Christianity following the same pattern.[3]The second paper of the day, presented by Professor Paul-Hubert Poirier of the Université de Laval, was entitled "Faith and Persuasion: On Bardaisan of Edessa's Epistemology."Prof. Poirier presented the Syriac Book of the Laws of Countries, a dialogue Dr Martin Accad, Lebanon: The Interpretation of John 20.17 in Christian-Muslim Dialogue (8 th -14 th century): the Ultimate Proof-Text.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.569 | 0.355 |
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".