Governance and Urban Changes in the Financialized Post-crash Period
Bibliographic record
Abstract
In this article, we examine the fundamentals of the changes that have taken place in governance and urban spaces after the crisis-recession of 2007–2009, post-crash. In this investigation, we focus on the shifts that have occurred, mainly in the US and the European Union. However, given the existence of global/local asymmetric economic and political interrelations, many of these observations can be extrapolated to other territories, including Canada, Asian countries and Latin America. In particular, these transformations are essential ingredients of the systems of governance and new economic strategies of the Tradable Income-Yielding Asset (TIYA) matrix for the refinancing and structuring of planetary urbanization and, in general, of the processes for accumulation of capital. In order to carry out this analysis, we have divided the text into three parts: 1) governance post-crash; 2) urban spaces and financial recovery; and 3) conclusion.
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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 | 0.000 | 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 | 0.000 |
| 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".