City to City Partnerships and Implications for Local Government Operations
Bibliographic record
Abstract
International city cooperation of sister city partnerships has become one of the important strategies to improve urban competitiveness, promote city development and urban development, as well as to create partnerships that can promote city agendas. Cities across the world have implemented or are implementing the concept of twinning, in which one urban local authority can partner with other local authorities in the world. Several studies have been done on international city cooperation especially in the European context. However, there is a paucity of knowledge on city twinning in Zimbabwe. This chapter seeks to examine the implications on local government operations through the twinning concept, using Harare and Munich as units of analysis. Overall, Harare has since twinned with Munich, in which the two cities cooperate in the areas of human capital development, capacity building, and information technology for cities. This development has seen Harare registering some improvements in terms of local government operations.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| 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".