Analisi dei sistemi di gestione della manutenzione stradale in ambito internazionale
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
[EN] In these times of crisis that countries such as Spain or Italy are living, the management and maintenance of infrastructure has become a current matter. \nIn our work, we will focus on the management and conservation of the roads infrastructure, focusing on the management of the pavements. Also, we expose which are the most common defects in the flexible pavements and how are measured these defects and features. \nIn addition, in this work we describe the tool of the PMS (Pavement Manager System), tool that is used nowadays for the management of the pavements of the roads network. \nIn this thesis, we also attempt to explain how the different countries (international and European) manage the maintenance of their road networks, focusing on the management of the road maintenance, the system that is used to establish what measure adopt and in which moment and in the funding of these maintenance programs. This analysis of these has been focused on the following countries: Australia, Canada, New Zealand, United States, Italy, Germany, United Kingdom, Switzerland and Spain. Moreover, to expand the analysis to the rest of the world we have made a questionnaire which is intended to show us the main aspects of the management of the road pavement. \nTo finish this thesis, we have made an analysis of a practical case in order to see in a real road all the application of these methods.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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