Political leadership – the key for explaining post-communist diversity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article focuses on the evaluation of recent research on post-communist political regime diversity in Eastern Europe and the former Soviet Union. It offers a snapshot of the literature which looks for explanations for this diversity in four sets of factors: pre-communist and communist legacies, transitional institutional choices, political leadership, and foreign influence. The findings are based on the political evolution of three countries: Slovakia, Belarus, and Macedonia. They are representative for all post-communist countries both in terms of regime trajectory and regional location. The author concludes that post-communist political regime diversity can best be explained when the political leadership in general and the top politicians’ ideology, in particular, are placed at the centre of the analysis. This explanation correlates well with all types of post-communist regime, whether democracy, dictatorship, or intermediate regime. The other factors – legacies, institutional choices, and foreign influence – at best, may act only as reinforcing variables in some cases.
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.
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 | 0.004 | 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) | 0.000 | 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 it