Development of an integrated model for environmentally and economically sustainable and smart cities
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 research introduces a novel integrated approach for smart cities designed to enhance environmentally sustainable economies through innovations and socio-economic transitions. The model is uniquely and comprehensively developed to create a novel smart city index by integrating 32 performance indicators that notably transform the environment, economy, energy, social, governance and transportation dimensions. The present multidisciplinary conceptual model explores the intersection and cross-sectorial impacts in the quest to potentially achieve a smart city. The assessment methodology employs multi-criteria decision-making and principal component analysis to quantify results and visualize a helpful outcome. Geometric weighting schemes were also used to test the robustness of the model. The model is applied to 20 cities worldwide to determine the smart city index for each city. The smart city index is a composite index that considers smart health as a critical factor for humanity. The correlation between the society and economy indexes shows a significant positive exponential relationship. Enhancing the society index will result in potential economic growth for cities. The trend is supported by a relatively high degree of agreement.
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