Norms and Challenges in the Global Movement of E-Waste
Bibliographic record
Abstract
The transboundary movement of electronic waste (hereinafter referred to as ‘e-waste’) has emerged as a significant global environmental and regulatory challenge. This paper critically examines international legal frameworks governing e-waste movement, focusing primarily on movements from developed to developing nations. It briefly highlights India as an illustrative example of the broader impacts faced by developing countries. The study analyzes key international regulations, particularly the Basel Convention, along with relevant regional agreements such as the Bamako and Waigani Conventions. The paper highlights how industrialized nations often evade strict domestic regulations by exporting waste under the guise of recycling or repair, shifting environmental burdens disproportionately onto economically weaker nations. Additionally, it addresses limitations in existing international mechanisms in curbing illegal e-waste trafficking and the associated enforcement challenges. By discussing loopholes in current legal frameworks—such as the "repairable loopholes"—the study emphasizes the need for stronger enforcement, enhanced international cooperation, and stringent compliance mechanisms to mitigate environmental injustice.
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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 | 0.019 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.040 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".