Bibliographic record
Abstract
This article examines determinants of persistent regional political cleavages in post-Communist Ukraine. The question is how significant the role of culture is compared to ethnic, economic, and religious factors in the regional divisions. This study employs correlation, factor, and regression analyses of regional support for the Communist/pro-Russian parties and presidential candidates and pro-nationalist/pro-independence parties and candidates in all national elections held from 1991 to 2006, the vote for the preservation of the Soviet Union in the March 1991 referendum, and the vote for the independence of Ukraine in the December 1991 referendum. This study shows that the pattern of these regional differences remained relatively stable from 1991 to 2006. Historical experience has a major effect on regional electoral behavior in post-Communist Ukraine. The legacy of Austro-Hungarian, Polish, Romanian, and Czechoslovak rule is positively associated with the pro-nationalist and pro-independence vote; the same historical legacy has a negative effect on support for pro-Communist and pro-Russian parties and presidential candidates and on the vote for the preservation of the Soviet Union.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".