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Record W3035603511 · doi:10.1080/20414005.2020.1778878

Regimes of waste (im)perceptibility in the life cycle of metal

2020· article· en· W3035603511 on OpenAlexaff
Tina Beigi, Michael Hennessy Picard

Bibliographic record

VenueTransnational Legal Theory · 2020
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsMcGill University
Fundersnot available
KeywordsProduct (mathematics)Circular economyCommodificationProduct lifecycleBusinessToxic wasteVisibilityNatural resource economicsWaste disposalWaste managementEconomyEconomicsEngineeringNew product developmentMarketingGeographyEcologyHazardous waste

Abstract

fetched live from OpenAlex

The transnational legal landscape governing waste management, recycling, and disposal remains narrowly focused on the economic possibilities of ‘end-of-life products', while paying little to no consideration to the much greater quantities of waste generated at the beginning of the product's lifecycle. We explore the existing regulatory framework through the duality of (in)visibility: whereas the circular economy of recycling increasingly integrates synthetic waste into the visible, the extractive industry buries biophysical waste into a ‘cradle-to-grave' economy. We argue that waste becomes a perceptible matter of concern when commodified into a new cycle of wealth accumulation. By contrast, when waste is abandoned on mining sites, it becomes an imperceptible matter of fact. Mining risks, although perceptible to the industry and affected communities, are rendered less visible to the administrative bodies in charge of regulating them. Therefore, waste (im)perceptibility is industrially manufactured according to the commercial aspects of a product, rather than its toxicity.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score0.179

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 head0.214
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

Citations15
Published2020
Admission routes1
Has abstractyes

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