Нижегородская губерния времен Петра i сквозь строки архивных документов рецензи я н а книгу : «От Петра губернии берем начало. . . »: (становлениенижегородскойгуберниивпервойчетверти XVIII В. ): сборник документов / Сост. Е. Э. Ешан, С. В. Сироткин. Н. Новгород: ЦАНО, 2014. 296 с
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The review considers the strengths and weaknesses of the first collection of documents related to the establishment and development of the Nizhni Novgorod guberniya in the first quarter of the 18th century. The strong points of the collection include, in particular, a wide range of archival sources. One of the shortcomings is lack of information on the provincial judiciary. The review also provides some new data about several Nizhni Novgorod administrators of the Petrine time.
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.
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 | 0.013 | 0.005 |
| Meta-epidemiology (narrow) | 0.010 | 0.010 |
| Meta-epidemiology (broad) | 0.011 | 0.006 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.014 | 0.007 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 0.056 |
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 it