THE PROBLEMS OF MAZEPIST EMIGRATION IN RESEARCH HERITAGE OF OREST SUBTELNY
Bibliographic record
Abstract
In the article the first attempt is made to evaluate Orest Subtelny’s contribution to the research of the so called Mazepist emigration. For this purpose, the author considers the contribution from two main perspectives: thematic and conceptual. Orest Subtelny’s research work, which is analyzed in the paper, selectively covers four topics from the history of the first period of Ukrainian emigration: the problem of the political aim of Mazepist emigration, the core problems of the international relations between Orlyk and different countries, the problem of the investigation of Orlyk’s Diariush as the source for the general diplomatic history of that period, and the attempt to encompass political emigres of several East European countries and as an entity phenomenon. Through the use of the archival and library sources, the author finds that at different stages of life in the time span of 1970–1990s the problems of Mazepist emigration played a critical role in research of the famous Canadian historian, being the object of his professional interest. Explaining the evolution of Subtelny’s vision of significant problems of the Mazepist emigration, the author concludes that the historian succeeded in possessing the decisive role in the solution of the number of the main research problems of this phenomenon, and was successful in the pioneering formulation of its vision and in proposing an individual attempt to provide an academic solution. This evolution is reflected in a series of monographs, articles, and speeches, written by a scholar mainly in the most mature periods of scholarly creativity – in the time span of 1970–1990s.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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 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".