Smart City Innovations: The Role of Local and Global Collaborations
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
This paper integrates research on smart cities, innovation ecosystems, and networks to examine how collaboration shapes the development of smart city technologies. It addresses a critical gap in the literature by investigating the roles of both local and global partnerships in driving innovation. Drawing on a negative binomial regression analysis of global patent data, the study evaluates the impact of domestic and international collaborations on smart city innovation. Next, to uncover the underlying mechanisms through which these partnerships influence innovation, the paper combines thematic analysis of interviews with network analysis. The findings identify three key pathways through which collaboration fosters innovation: knowledge transfer and adoption, co-development and experimentation, and standardization and scalability. The study underscores the complementary roles of local and global ties—while local collaborations provide the foundation for implementation, global linkages introduce new ideas and practices that enrich local innovation efforts. The paper concludes with policy recommendations for promoting effective multi-level collaboration in smart city development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 it