Қазақлық, Алаша-хан и казахская идентичность в исследовании доктора Джу-Юп Ли
Bibliographic record
Abstract
This review is devoted to the book “Qazaqlïq и образование казахов. Государство и идентичность в постмонгольской Центральной Евразии” (“Qazaqlïq and the Formation of the Qazaqs. State and Identity in Post-Mongol Central Eurasia”, Almaty: Shon Publishing House, 2022), by Dr. Joo-Yup Lee, Professor at the University of Toronto. This is the Russian translation of the book, which was first published in English by Brill and received positive critical reviews and book awards (“Qazaqlïq, or Ambitious Brigandage, and the Formation of the Qazaqs: State and Identity in Post-Mongol Central Eurasia", Leiden: Brill, 2016). The book is dedicated to the socio-political phenomenon of Qazaqlïq and its role in the formation of the Qazaq people and their identity. The review highlights the strengths of the book: wide coverage of the source base; a thorough and precise study of the history of the study of the Qazaqlïq phenomenon; large territorial, geographical, and interethnic coverage. The author of the book paid considerable attention to the Qazaqlïq institution, the legend of Alasha Khan, and Qazaq identity
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.011 |
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".