CSR maturity model for smart city assessment
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
Population and urban growth are challenging traditional approaches to solving city-related problems. To meet these challenges, the concept of smart city/community (SC) has been introduced as a strategic solution. This research seeks to identify the key smartness dimensions of a city, build a corresponding novel smartness concept, and develop a full assessment model. The contribution of this research includes identifying three key dimensions for SCs: connectivity (C), sustainability (S), and resiliency (R); and developing a corresponding maturity model (MM) for SC assessment referred to as CSR-MM. The model’s applicability is validated by examining its conformance to MM design principles, available in the literature, and practically demonstrated via a case study (Fredericton Public Transit, New Brunswick). The assessment outcomes were compared against an international SC assessment tool ( ISO37120 2018 ). Municipalities will benefit from this CSR-MM in identifying maturity gaps, setting prioritized goals, and focusing on continuously improving citizens’ well-being.
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 | 0.000 |
| 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 it