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Record W4409598767 · doi:10.33002/jelp050110

Norms and Challenges in the Global Movement of E-Waste

2025· article· en· W4409598767 on OpenAlexvenueno aff

Bibliographic record

VenueJournal of Environmental Law & Policy · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMovement (music)Environmental sciencePsychologyAestheticsArt

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.253
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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