An overview of various new road profile quality evaluation criteria: part 2
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 is the second part of an article which correlates road-induced impacts on vehicle to a selection of road assessment criteria. The impacts on tyre, suspension and radiator wear are studied by running a multibody semi-trailer truck model on 270 road profiles. The model accurateness is assessed by comparing international roughness index (IRI)–impact relationships to those published in the literature. A new profile rating method uses wavelength content to predict the impacts of a specific profile on driver and passenger health and safety, truck wear and fuel consumption. It is concluded that (1) medium wavelengths severely impact fuel consumption, component wear and safety; (2) simple, two-point and four-point indices yield similar results, but the more the points the better the correlation; (3) the IRI is good at predicting general trends in road-induced vehicular impact but is weak for specific impacts and (4) tyre wear correlates linearly while component wear requires quadratic correlations.
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 | 0.002 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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