Capital cities of federations. On the way to analysing the normative base of their asymmetrical status
Bibliographic record
Abstract
Federal Capitals often have special statutes. Compared with member states, they often enjoy a lower degree of self-government and a lesser share in the governing of the federation. Why do actors choose such devices, and how can they be justified in a liberal democracy? Surprisingly, the burgeoning literature on asymmetric federalism (to which our research group has contributed significantly) has overlooked this important feature of a de iure asymmetry, perhaps because political theory up to now has concentrated on cases of multicultural and plurinational federations. However, comparative literature is also rare. This paper is the first step to filling in this gap by comparing some federal capitals. The Federal District model (Washington) is compared to capitals organized as member-states (Berlin and Brussels), and capitals that are cities belonging to a single member state (Ottawa in Ontario). The different features of de iure asymmetry will thereby be highlighted. Some light will be shed on the possible motives, reasons and justifications for the choice of each respective status. The paper opens the door to further research on such status questions by analysing public and parliamentary debates, for example. It paves the way for more thorough research. Sicne the author has been awarded a grant by the Institut d’Estudis Autonòmics, this research will be carried out soon.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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 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".