Local groups of the Russian ethnos at the end of the XIX-first quarter of the XX centuries : historical and demographic research
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 paper deals with ethnic groups of the Russians of the late XIX- first quarter of the XX centuries. The author divides all local groups of the Russians into ethno-territorial, ethno-class, ethno-confessional and ethnographic ones. They were formed in the context of the development of territorial-economic and historical-cultural clusters: Southern and Central Russian, North Russian, Siberian, Far Eastern and Central Asian. Subethnic groups of the Russians had to adapt to different climatic conditions, perceive the way of life and a new type of economy, elements of the material culture of the aboriginal peoples. The degree of closeness to indigenous peoples varied. From self-isolation to close contacts and mixed marriages. At the same time, as a rule, the Russians retained their language, cultural elements, ethnic identity and other basic values. The paper presents demographic indicators of local groups of the Russians of the late XIX-first quarter of the XX centuries.
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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.007 |
| Science and technology studies | 0.004 | 0.051 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.014 | 0.006 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it