Constitutional and legal foundations of territorial integrity in federal states: historical and legal analysis
Bibliographic record
Abstract
The article explores the constitutional and legal foundations of the territorial integrity of the federal states, focusing on historical and contemporary examples. The authors examine cases of successful and unsuccessful secession, as well as legal mechanisms used to prevent separatism. We take Spain, the USA, Canada, India, and Germany, as the examples to analyze the role of constitutional provisions in maintaining state unity. A key aspect of the study is the distribution of competencies between federal structures and federation subjects, which ensures a balance of interests and prevents internal conflicts. A great attention is paid to the principle of subsidiarity and the role of federation subjects in governance, contributing to the preservation of territorial integrity. The authors emphasize the importance of integration mechanisms and constitutional guarantees in maintaining the stability of the federal states. The article establishes that the territorial integrity of federal states is ensured through a set of constitutional and legal norms that regulate the relations between federal authorities and the subjects of the federation. These norms include a clear distribution of competencies, where federal authorities are responsible for national issues such as defense and foreign relations, while the subjects of the federation have powers in local governance. The principle of subsidiarity involves the participation of the federation’s subjects in state governance, ensuring a balance of interests and preventing internal conflicts. Additionally, the supreme legal authority of the federal constitution, mechanisms of federal intervention in case of threats to integrity, and the unity of the economic space all contribute to the stability and unity of the federal state, effectively countering separatist movements. It is determined that the participation of federation subjects in the process of constitutional amendments guarantees their representation and protection of interests, preventing unilateral changes in the state structure. The state language plays an important role, promoting national unity and preventing ethnic conflicts, which is critical for multinational federations. Furthermore, the representation of federation subjects in the national parliament ensures their influence on key decision-making, promoting more balanced policies and strengthening ties between the central government and the regions.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.032 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".