National minorities (Armenians) in the new history of Ukraine: sociocultural approach
Bibliographic record
Abstract
Taking the problem of cultural slice of the study of minorities, it is noted the intention to solve on a very specific «material». Namely, the Armenian national minority, which for the first quarter century after the collapse of the geopolitical formation of the USSR lived in Ukraine, including the capital Kyiv. The author proves the advisability of the sociocultural approach to research the Armenian national minority (communities) that lived in Ukraine during 1990–2010. Trying to optimize the research methods she advances arguments for the use of knowledge of the modern Humanities. The essence of the socio-cultural approach to the history of national minorities (Armenians) is not a mechanical unification of the social and cultural sections of knowledge about the selected object (formulates the subject) of the study. On the contrary, he has the property of continuous expansion, retraction into its orbit of a wider range of methodological cognitive practices, what motivates the modern Humanities.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".