Археологические исследования средневекового городища Бытыгай
Bibliographic record
Abstract
Archaeological sites of the medieval period in the Northern Saryarka have been studied unevenly. The least explored areas include the territory of the Tengiz-Korgalzhyn lake system and the upper reaches of the Nura River. In the field season of 2022, excavations were carried out at the medieval settlement of Bytygai, located 1 km from the village of Korgalzhyn. Excavations were carried out in the production quarter of the settlement, as well as in mausoleums and burial objects. As a result of the archaeological excavations of the mausoleum and production quarter, six types of burned bricks were identified (with ornamentation without glaze, ornamented, covered with glaze, etc.). According to stratigraphy, brick decoration and analysis of burial inventory, the investigated object dates back to the 14th–16th centuries.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.032 |
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; both teacher heads agree on what is shown here.
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".