Bibliographic record
Abstract
The ancient-to-modern Nile Delta has been consistently conceptualised as a coherent, distinctive region, and toponymy is one of the manifestations of this space-making process. In that regard, available evidence, which ranges from the Old Kingdom to modern times and covers a variety of scripts and languages, testifies to two partly overlapping yet simultaneously distinctive takes on the region. One adopts an insider’s, fluvial and south–north vantage point; the other, an outsider’s, maritime and north–south one. The etymology, diachronic endurance and translation of the toponyms (t3-)mḥw and Δέλτα indicate a tension between the unswerving appeal of the indigenous understanding of the Delta as a place and the long-lasting, far-reaching posterity of the ancient Greek tradition beyond and within Egypt. This chapter analyses available literary and documentary evidence of the name(s) given to what we now commonly call the Nile Delta, from Antiquity to the modern period. I propose that we consider these place names as both manifestations and vectors of stories, and reflect on their contribution to our understanding of human pluri-millennial entanglements with this territory. I first discuss the two, Egyptian and Greek, names associated with the region, before focusing on the polysignificance of the apex region.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.108 | 0.069 |
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".