Bibliographic record
Abstract
Abstract A contribution to a scholarly controversy that has been on-going for a quarter century now, this article provides a critical review of previous studies on the existence of post-traumatic stress disorders (PTSD) as a consequence of extreme violence in the ancient world. It highlights methodological difficulties in attempting to ‘diagnose’ psychological illnesses across a distance of more than two millennia by means of highly stylized literary texts. Simultaneously, it introduces crucial new evidence in the form of a late antique papyrus originally published in 1924 (P.Oxy. 16/1873), which has hitherto been almost completely ignored by scholarship. The papyrus, a letter written by a man called Martyrios in sixth century Lycopolis and addressed to his father, recounts psychological war trauma as a result of an attack on his hometown. He does so in a first-person perspective, using a highly select and unusual vocabulary to describe his emotional impairment. Because of its syntactical and vocabulary extravagance, this letter is sometimes seen as a fictional literary reflex. The authors argue, on the contrary, that this letter is the only reliable documentary evidence for psychological war trauma from the ancient world known so far.
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 | 0.006 |
| 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 | 0.013 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.006 |
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".