Bibliographic record
Abstract
This paper textually investigates the alphabetical Apophthegmata Patrum, a text written in the late 5th or early 6th century CE that claims to record the sayings of the Egyptian Desert Fathers. The purpose of this investigation is to better understand the nature of Christian ascetic authority at this time as it moved from an oral to a written tradition. As this text bases its presentation of authority on sayings, or ‘words’, this paper will begin by focusing on a corpus of sayings which reveal how this text understands the power of ‘words.’ This text understands itself as enacting authority via words with the intention of transforming its readers. Once this paper has demonstrated this understanding, it will continue to outline a new understanding of the text’s contradictions: that ‘words’ must be prescribed based on an individual and their situation, thus rendering contradictions non-problematic. Therefore, self-analysis and self-prescription of ‘words’ became necessary to ascetics as ‘words’ became written and not performed by the Fathers themselves. This aspect of written ascetic authority also exists within the later systematic Apophthegmata Patrum and other ascetic writings, with differences occurring because of their perceived audiences.
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 | 0.001 | 0.002 |
| 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 | 0.011 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".