Phasian Confusion. Notes on Kolchian, Armenian and Pontic River Names in Myth, History and Geography
Bibliographic record
Abstract
Due to its close link with the legendary kingdom of Aia, where the Argonauts found the Golden Fleece, the Kolchian Phasis is one of the most illustrious rivers in world literature. It is, at the same time, surrounded by several controversies, ancient as well as modern. The evidence seems to suggest that it was first pictured as part of the mythical landscape around 500 B.C. Mythical narratives, colonial ideologies, reports of explorers and geographical speculation led to a heterogeneous, in part fancy tradition, as is best exemplified by the Phasis/Tanaïs/Don, which was fathomed with a second outlet into the Baltic Sea. This notwithstanding, the concept of the Kolchian Phasis was quite sober. Eratosthenes, Strabo and the mainstream literary tradition identified it with the modern Rioni only as far as Rhodopolis/Geguti, whence its middle course equals the Kvirila River to Sarapana/Shoropani; its upper course, now the Barimela, connected it with its Armenian source. The knowledge that Herodotos and Xenophon had of the Phasis/Rioni and of the Araxes/Phasis/Aras was limited but not confused. Prokopios, however, describes the Boas/Akampsis as the upper course of the Phasis/Kvirila/Rioni in Book 2, but corrects this view in Book 8. His error stands in a broader tradition that ignored the Akampsis, possibly due to confusion with multiple rivers called Lykoi in the Argonautic and geographical literature. This insight will allow us to demystify Apollonios Rhodios’ verses on the Phasis, Lykos and Araxes, and to appreciate the minor rivers of the riverscape of Aia: the Hippos, Kyaneos, Glaukos and Lykos, whose systematic study remains a desideratum.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".