Sustainability and Management of End-of-life Vehicles (ELVs) within the European Union's Directive on ELVs
Bibliographic record
Abstract
<div class="htmlview paragraph">The future sustainability of the automobile must include an approach to handle End-of-life Vehicles (ELVs) economically and within the new requirements imposed by the new European Directive. The European Directive on ELVs will change the management of ELVs in Europe by forcing auto manufacturers worldwide to take a greater financial responsibility for the proper environmental handling of their vehicles at the product's end-of-life (EOL). Essentially, the new policy encompasses Extended Producer Responsibility (EPR) by requiring hazardous materials to be removed from the vehicle and specific recovery targets (focusing on reuse and recycling) to be met. This paper discusses the findings of a study that applied a demanufacturing optimization model on a dismantled vehicle to evaluate the economics and material destinations within the imposed requirements of the new legislation. The results of the current study provide insight into the future problems and opportunities that will be brought forth by the new Directive.</div>
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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 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".