On The Sustainability Of Urban Institutional Dynamics: Capitalization, Decentralization, And The Case Of Two Alpine Cities
Bibliographic record
Abstract
The focus of this article is on the institutional dimension of urban dynamics, particularly on the twin processes of capitalization – defined as the transformation of a place into a capital city – and decentralization. We observe that they co-exist in several urban contexts. A study was conducted addressing the inherent level of sustainability for each configuration produced by the dynamics. This hypothesis was tested by performing a mental experiment to assess the consequences of the prevalence of one dynamic over the other. To do so, a case study was undertaken on two Italian Alpine cities – Turin and Bolzano – in order to empirically ground the experiment and compare the two conceptual models. From our analysis, both extreme centralization and decentralization seem unsustainable. The broader policy implications are clear: urban institutions must seek to control these processes by avoiding the extremes and mitigating their impacts.
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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 | 0.000 |
| 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 | 0.001 |
| 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".