КОМПЛЕКСНОЕ ИССЛЕДОВАНИЕ РАННЕАЛАНСКИХ ЗАХОРОНЕНИЙ IV в. н. э. В СЕВЕРНОЙ ОСЕТИИ
Bibliographic record
Abstract
В работе публикуются два новых комплекса с катакомбными захоронениями под курганными насыпями, исследованные в 2019 г. в Моздокском р-не РСО-Алания на курганном некрополе «Киевский I». Коллективом разработан ряд методических приемов по выявлению и локализации подкурганных катакомб на материалах архивной аэрофотосъемки и космоснимков, а также последующего магнитометрического обследования, позволяющего выявить погребальные ровики и захоронения в катакомбах. Проведенные археологические раскопки по результатам геофизических изысканий позволили исследовать две подкурганные катакомбы и одно захоронение в яме. Раскопанные захоронения датируются в рамках второй и третьей четвертей IV в. н. э. и хорошо вписываются в контекст известных на сегодняшний день погребений раннего этапа аланской культуры Среднего Терека, образующих своеобразный локальный вариант древностей алан II–IV вв. н. э. The paper publishes two new assemblages with Catacomb burials covered with kurgans which were excavated in the Kievskiy I kurgan cemetery in the Mozdok district, the Republic of North Ossetia – Alania in 2019. The team developed a number of methodological guidelines aimed at discovering and localizing catacombs covered with kurgan mounds using archival aerial photos and space images as well as subsequent magnetometry survey that helps identify burial ditches and catacomb graves. Archaeological excavations based on geophysical surveys offered an opportunity to examine two catacombs covered with kurgans and one pit burial. The excavated burials date back to the period between the second and the third quarter of the 4th century. This fits well the context of currently known burials of the early stage of the Alan culture in the Middle Terek region that form a distinctive local variant of the antiquities attributed to the Alans of the 2nd–4th centuries AD.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.026 | 0.011 |
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".