Modelling a Christian Academy: Christ, Disciples, and Biblical Scholarship in Origen’s Commentary on Matthew
Bibliographic record
Abstract
Abstract This paper addresses evidence in Origen’s Commentary on the Gospel of Matthew of the Alexandrian’s self-understanding of his scholastic practices. Drawing on Origen’s interpretation of the parables in the Gospel, I argue that Origen exploits the motif of Jesus explaining the parables to his disciples as a model for his own school enterprise in Caesarea. In light of this observation, I will begin by examining the echoes of the classroom environment found in Origen’s Matthew Commentary building on the work of Guido Bendinelli and Lorenzo Perrone. Paying particular attention to stylistic features, such as the use of the first-person plural, I will map the classroom dynamic in the making of the commentary. Then, I will focus on Origen’s hermeneutical approach to Jesus’ parables, especially the distinction he draws between Jesus engagement with the “crowds” and his private teaching to the disciples. Underpinning the Matthew Commentary was Origen’s attempt to model his school against the conceptual backdrop of the Jesus-disciple dynamic and the Greco-Roman philosophical school tradition.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".