Benefits and limitations toward a sustainable road environment during the years of economic recession
Bibliographic record
Abstract
The prolonged economic crisis in Greece in the last 5 years resulted in a dramatic road traffic volume reduction and as a consequence in environmental road traffic noise diminution.This article analyses this issue with comparisons of measurements of noise, traffic volume and speed, at certain points along the capital's ring motorway, for a 9-year period.Data and comparisons concern measurements taken at 42 locations in Athens ring road during the last 9 years.According to the results, since 2009 -the year with the highest ring road traffic volume -there is a downward trend in both road traffic and environmental noise measurements recorded every year.It is also interesting to point out that until 2009, at locations where there is high traffic volume and many hours of congestion during the day, there is some minor reduction or even an increase in noise level due to the increase of the average speed.On the other hand, night measurements show that, for economy reasons, driver's speed has dropped to lower levels and thus lower noise level measurements are recorded.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".