Late Scythians’ Houses in North-West Crimea in the Second Half of 1st Century BC — First Quarter of 1st Century AD
Bibliographic record
Abstract
The article summarizes the data known about home layouts in North-West Crimea during the peak of the late Scythians’ settlements. The layouts of a number of houses (Kara-Tobe, South Donuzlav settlement) are introduced for the first time. These layouts are the first to be compared with each other and with the previously published layouts. Such comparison demonstrates that the number of planning schemes in late Scythians North-West Crimea was limited, besides, they changed over the time. In that way, Г-shaped house layouts that had prevailed during the previous stage (about 110 BC — middle 1 st century BC) became obsolescent before 20 BC. Kerkinitis layout system is dated within the same years. From 1 st century BC the houses of П-shaped layout emerged and after 20 BC they became prevalent. Г-shaped and П-shaped houses meet their analogies in Kerkinitis and Kalos Limen of the Greek period, they are well represented in other regions of the ancient world as well. Kerkinitis layout system is similar to ‘equally-parallel principle of home layouts’, typical for Scythian Neapolis and Ust-Alma settlement. This gives us the opportunity to expect that some Greek specialists or their Barbarian apprentices contributed to the exploration of the North-West Crimea. They could be similar specialists and apprentices who had earlier worked in Scythian Neapolis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".