Bibliographic record
Abstract
Разбирается проблематика изучения городищ раннеславянского круга культур третьей четверти I тыс. н. э. – псковских длинных курганов, тушемлинско-банцеровской и колочинской. Среди проблем – культурная принадлежность отдельных памятников и целых групп, датировка, интерпретация городищ. Из числа упоминаемых в литературе 258 городищ указанных культур на карту нанесено 64 пункта, керамика и другие находки из которых известны и могут быть атрибутированы. The paper explores the issues pertaining to the studies of hillforts attributed to the cultures of the early Slavic circle and dated to the third quarter of the first millennium, i. e. Pskov long kurgans, the Tushemlya-Bantserovshina culture, and the Kolochin culture. One of the issues is cultural attribution of specific sites and entire groups of sites, dating and interpretation of hillforts. Out of 258 fortified sites of these cultures mentioned in the literature, 64 locations from where ceramics and other finds had been retrieved and that could be attributed to certain cultures are shown on the map.
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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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.020 |
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".