Legal change in post-communist states: Contradictions and explanations. Introduction
Bibliographic record
Abstract
Reformers had high hopes that the end of communism in Eastern Europe and the former Soviet Union would lead to significant improvements in legal institutions and the role of law in public administration. However, the cumulative experience of 25 years of legal change since communism has been mixed, marked by achievements and failures, advances and moves backward. This special issue of the journal Communist and Post-Communist Studies documents the nuances of this process and starts the process of explaining them. This introductory essay draws on the findings of the articles in this issue to explore the impact of three potential explanatory factors: regime type, international influences, and legal (or political) culture. Regime type matters, but allows for considerable variation within authoritarian and democratic states alike and the possibility of reversals. The influence of international organizations (like the European Union) is also far from predictable, especially once states have joined the organization. Finally, legal cultures and political traditions play a large role in explaining developments in individual countries, but there is nothing inevitable about their impact.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.018 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".