Gaps of Different Sizes: Assessing Political Asymmetry in Cross-Border Cooperation
Bibliographic record
Abstract
In this study, I aim to gain a more comprehensive understanding of political asymmetry in cross-border cooperation by comparing authority asymmetry in cross-border cooperation. My research is guided by the question: What patterns of regional and local authority asymmetry in cross-border cooperation can be measured? I develop a conceptualization of authority asymmetry in cross-border cooperation based on the dimensions policy scope, institutional depth, financial autonomy and multi-level interrelations. Based on an analysis of data from the Regional Authority Index (RAI) and the Local Autonomy Index (LAI), I empirically analyze authority asymmetry measured by standard deviations of index scores in the respective cross-border cooperation constellations. The analysis reveals differences across cases and governmental levels. The results provide a comparative perspective and can inform future descriptive and causal analyses, the inclusion of political contexts in case studies as well as case selection.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".