Negotiating Territorial Change in Multinational States: Party Preferences, Negotiating Power and the Role of the Negotiation Mode
Bibliographic record
Abstract
In this article, we offer an explanation for varying patterns of territorial reforms aimed at accommodating claims for more substate autonomy in multinational states. We argue that the interaction between preferences of state-wide and non-statewide parties, their negotiation power and the negotiation mode accounts for specific patterns of territorial change. Analytically, we advance existing research in two ways: First, by analyzing territorial change in a two-dimensional space (vertical and horizontal), we pay explicit attention to jurisdictional heterogeneity between substates. Second, by applying an actor-centered institutionalist approach, we highlight the strategic potential of actors within the institutional setting. The comparative analysis of thirteen processes of territorial change in four multinational Western democracies—Canada, Belgium, Spain, and the UK—reveals, first, certain conditional effects of the independent variables on specific patterns of territorial change and, second, how the negotiation mode impacts on a party’s negotiation power.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".