State of Legislative and Normative Art in the Fields of the Environment, Health and Security of European Electrical and Electronic Equipment
Bibliographic record
Abstract
Electricity is becoming increasingly important in our modern life, particularly in developed countries and recent generations. This contemporary energy allows smart programming and more refined uses. As a result, there is a need for better energy efficiency of Electrical and Electronic Equipment (EEE). In this context, the design of EEE must meet statutory obligations in order to reduce their consumption of primary energy by considering equipment over their whole life cycle. European legislation (WEEE, RoHS, ErP, REACh) has played a major role in deep technological change and has placed the environment at the center of the sector's interests. This article presents some of the many recent developments in normative and legislative matters.
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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 | 0.030 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".