Bibliographic record
Abstract
This article addresses the problem of identifying the descendants from the Central Asian states in Siberia – the Bukharans – from the 17th to the 21st centuries, focusing on transition and transitional process, where the dynamics and statics are foundational. The main sources included scholarly works of the 18th and 19th centuries, archival data, and evidence from ethnographic expeditions from the last quarter of the 20th century to the early 21st century in the areas of compact settlement of the Bukharans’ descendants. Identification is discussed through the integration into the structure of Russian society and onomastics: Bukharans, Sarts, Bukharans and Tashkentis, Siberian Bukharans, Tatar-Bukharans, Bukharan Tatars, Tatars. Periodization of the emergence, development, and transformation of the identity of this population group in Western Siberia has been established with the following key milestones and four periods: 1) late 16th – late 17th century; 2) late 17th – 1810s; 3) 1820s – 1910s, and 4) 1920s to the present day. The periods of dynamics (first period – the emergence of the Bukharans as a group, their identification both internally and externally; fourth period – transformation of identity towards the Tatars) and statics (second period – the inclusion of the Bukharans into the fiscal and administrative systems of the Russian State with account of their foreign origin, consolidation in defending their privileges; third period – further consolidation and identification of the Siberian Bukharans as subjects of the Empire equal to others) have been identified. Although currently the descendants of the Bukharans consider themselves Tatars, they maintain the memory of their origins. The evidence from the expeditions includes both designations – “Bukharan” and “Bukharan Tatar.”
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 | 0.001 | 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 | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".