The Dutch WEEE Flows 2020: What happened between 2010 and 2018?
Bibliographic record
Abstract
This report compares the 2018 Dutch WEEE (Waste from Electrical and Electronic Equipment) flows to the 2010 Dutch WEEE flows. The main findings of the report are that WEEE Generated increased from 324 kt in 2010 to 366 kt in 2018. In 2018, half of the WEEE Generated which was compliantly recycled. Approximately one quarter is calculated to be non-compliantly recycled, and another quarter was disposed of in waste bins or exported for reuse, or could not be documented. In 2010, approximately one third was compliantly recycled, one third was non-compliantly recycled, and another third was disposed of in waste bins, exported for reuse, or could not be documented. The study provides a set of recommendations to improve the reporting and collection of WEEE.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.016 | 0.025 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; both teacher heads agree on what is shown here.
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".