The patrimonial tomb of the Gotovtsevs in the village of Likurga: preliminary results of the study
Bibliographic record
Abstract
The paper, written in the framework of the CIR project (Corpus of Russian inscriptions / Corpus Inscriptionum Rossicorum), summarises the preliminary results of the study of the complex of white stone tombstones from the unique historical, cultural and architectural monument of the late 17th century – the ancestral tomb of the Gotovtsevs, Galich noble family in the village of Likurga of Buy district of Kostroma Region. It has preserved 11 white stone tombstones with epitaphs, the earliest of which dates the late 16th to the early 17th century, while the latest, 1725. The inscriptions on the tombstones contain important material on the genealogy of Galich branch of the noble family of the Gotovtsevs, up to its suppression in the fi rst quarter of the 18th century. The Annex to the paper publishes the oldest tombstone with the epitaph to Davyd Urakov, son of Gotovets.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.005 | 0.001 |
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".