Artere urbane: tre diversi esperimenti nelle cittŕ americane
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 essay examines the decision-making process that led to the building of the freeways and highways that cross metropolitan areas in the USA, focusing on the cases of Syracuse, New York; Memphis, Tennessee; and Los Angeles, California. There are many decisions concerning transportation that affect urban areas, but the most import of them have to do with state highways and interstates. This essay focuses on the phases and the events that led to the cities' decisions on the highways that cross urban centers. These decisions were laden with serious consequences on the formation, growth, and decline of various models of urban development. The sources of information consist mainly of interviews and investigations, archival records and statistics. The cases examined lead us to believe that the fate of cities in this area mostly depen- ded on powers beyond their control tied in with transportation. In any case, the decisions in each case are not analogous to those of other cases. The outcomes in each city depended on phenomena that interact with each other and depend on particular moments in history and on changeable factors, such as the chance to obtain federal and state funding, the set up of the environmental laws, and the specific philosophies of governmental administrations on fiscal questions and on how to maintain the city centers vital.
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) | 0.004 | 0.002 |
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