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Record W4224992881 · doi:10.1111/anti.12841

Informal Waste Recycling Economies in the Global South and the Chimera of Green Capitalism

2022· article· en· W4224992881 on OpenAlex
Kesha Fevrier

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAntipode · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of CanadaInternational Development Research Centre
KeywordsCapitalismExploitNeglectInformal sectorSustainable developmentPoliticsEconomicsGlobal SouthGreen economyEconomyEconomic systemPolitical economyMarket economyPolitical scienceEconomic geographyLaw

Abstract

fetched live from OpenAlex

Abstract This paper contends that green growth/economy strategies directed at the global South through ideas such as the circular economy (CE) can maintain and reproduce predatory practices that aggressively exploit racialised groups, while simultaneously cannibalising their environments. These green strategies facilitate transfers of wealth from the global South to the North through new socio‐spatial frontiers for wealth creation, global South cities, and their expanding, dispossessed, unhoused, and racialised army of informal labour. Green growth/economy strategies—mechanisms that attempt to “green” capitalism—are portrayed as a chimera that can reproduce racial forms of exploitation and accumulation in discursive and material ways. Green campaigns that attempt to reconstruct notions of waste and value, and re‐imagine informal waste work as good and safe, neglect an accounting of race and the historical, political, and economic factors that make possible waste recycling as a viable economic strategy for sustainable development in the global South.

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.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.008
GPT teacher head0.234
Teacher spread0.226 · 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