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Record W3159831291 · doi:10.24908/iqurcp.8307

Understanding the International Trade in Waste: Who Bears Responsibility?

2016· article· en· W3159831291 on OpenAlexvenueno aff
Lindsay Wiginton

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsInternational tradeCommoditySupply chainBusinessGlobalizationConventionEconomicsFinanceMarket economyPolitical science

Abstract

fetched live from OpenAlex

There has been a growing dialogue surrounding the globalization of commodity supply chains in recent years. Several important issues have surfaced surrounding working conditions in the countries of production and the environmental impact of massive transportation required to feed the global trade. However, commodities rarely end their international journeys at the end‐of‐use phase. In fact, the last half‐century has seen the birth of a complex international trade in waste. End‐of‐use products are shipped worldwide for one of three main reasons: for disposal, for recycling or for second‐hand use. The most commonly traded waste items are of an electronic nature; as a result, they have the potential to release toxins in the form of heavy metals and other contaminants. The primary factors driving this trade are different environmental policies and/or different labour capabilities between the trading regions. Asa result, the flow of waste most often occurs from developed to developing countries, having adverse environmental and social effects despite the short‐term economic gain. This inquiry conducts a survey of the current international trade in waste, identifying the most common trade routes and goods. Specifically, it examines domestic and international policies, such as the Basel Convention (1992), which seek to moderate or end the international trade in waste. Finally, this inquiry will illustrate the complexity of the waste trade system and question where the responsibility lies to moderate this flow: with the material producers, the consumers, or the governing bodies.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.160
GPT teacher head0.360
Teacher spread0.200 · 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 designTheoretical or conceptual
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

Citations0
Published2016
Admission routes1
Has abstractyes

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Same venueInquiry Queen s Undergraduate Research Conference ProceedingsSame topicRecycling and Waste Management TechniquesFrench-language works237,207