Toronto and São Paulo: Cities and International Diplomacy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
With globalization, the largest cities in the world have been growing in economic importance. And their local powers have often been enhanced as a result of decentralization reforms over the past two decades. In this context, cities—and particularly their mayors—have been reaching out to other cities and jurisdictions to pursue a variety of goals. One term for this process is “paradiplomacy,” but most of the literature on the subject gives little attention to the local political dynamics behind these initiatives. In this article, we explore these local dynamics through a comparison of two major cities, Toronto, Canada, and São Paulo, Brazil. The cases show that external initiatives, both in scope and direction, vary according to the political strategies of the elected mayors. These strategies are strongly affected by the local context and by the political logic of mayoral leadership.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it