Stone Burial Grounds to the East of Lake Peipsi: To the Statement of the Problem
Bibliographic record
Abstract
В статье рассматриваются каменные могильники второй половины I - начала II тысячелетия, расположенные к востоку от Псковско-Чудского озера в зоне интенсивных культурных контактов между территориями российского Северо-Запада и Эстонии. Выделяется две группы памятников: на западной окраине Ижорского плато и в Псковско-Изборском регионе. Могильники Ижорского плато, аналогично каменным могильникам Северо-Восточной Эстонии, представляют собой так называемые могильники с оградками (таранды), сооруженные в римское время и использовавшиеся для захоронений в середине - третьей четверти I тысячелетия. Могильники Псковско-Изборского региона датируются эпохой викингов (за исключением могильника Выбуты) и представляют собой отдельное культурное явление. Каменные могильники обеих групп часто топографически связаны с позднейшими курганно-жальничными могильниками, в которых встречены аналогичные каменным могильникам кладки. Stone burials of second half of 1st - the beginning of 2nd millenium, located to the east from Lake Peipsi (Pskov-Chudskoe) in the zone of intensive cultural contacts between territories of the Russian North-West and Estonia are considered. Two groups of monuments are distinguished: on the western outskirts of Izhora Plateau and in Pskov-Izborsk region. Graves of Izhora plateau, similarly to stone burials of NorthEastern Estonia, are so called fenced burials (tarands), built in Roman time and used for burials in middle - third quarter of the 1st millennium. Graves of Pskov-Izborsk region date from the Viking Age (with the exception of Vybuty burial ground) and represent a separate cultural phenomenon. Stone burial grounds of both groups are often topographically connected with later barrow-zhalnik cemeteries, in which fences similar to stone burial grounds are found.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".