Bibliographic record
Abstract
After 25 years from its first formulation, Transit Oriented Development (T.O.D.) is going to be applied in several metropolis of east and middle east, where new metro lines are under implementation; for some of those the public transportation is arriving for the first time, or is going to be massively implemented, as in Saudi Arabia. Beside developing infrastructures for public transportation, the new metro projects are going to bring a new improvement in the urban structure, from a mono-centric and autooriented, into a pedestrian-friendly and transit-oriented metropolis. The success of the new Metro will pass by the successful development of the involved districts as T.O.D. neighbourhoods. This is going to be successful only working by procedural strategies on strongly integrated methodologies for analysis, design, maintenance as post production and the management of the whole process, before than just going for the usual planning and urban or architectural design projects. Starting from the guidelines of Transit Oriented Development Institutes and the several case studies in the USA, the research will extend into the most successful urban development strategies in Europe, through direct experience and monitoring of the results for the selected projects within the last 15 years.
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.
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 | 0.000 | 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 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".