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Record W4413491857 · doi:10.1080/01436597.2025.2544337

Gold as something to be proud of? Contradictions of ethical consumerism in artisanal and small-scale gold mining in Latin America

2025· article· en· W4413491857 on OpenAlexafffund
Sandra McKay, Rebecca Hall

Bibliographic record

VenueThird World Quarterly · 2025
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsConsumerismLatin AmericansScale (ratio)Gold miningPolitical scienceEnvironmental ethicsLawGeographyPhilosophyCartography

Abstract

fetched live from OpenAlex

This article examines how artisanal and small-scale gold mining (ASGM) is represented in a voluntary responsible sourcing certification programme in Latin America. By critically analysing the language and imagery employed on the programme’s online platforms, we explore how advertising campaigns of ethical consumerism embody gendered and racialised ideologies and commodify development stories. Our analysis shows that the images of development and racialised bodies in this case study illustrate and reproduce two key contradictions of contemporary global development: first, between the extractive and humanitarian ideologies in liberal development, often made strange bedfellows in transnational mining; and, second, between the simultaneous hypervisibility and invisibility of the rural labour that underpins ethical consumerism in mining. We argue that this campaign commodifies ASGM’s development stories, which (re)produces a false and harmful good/bad mining dichotomy where, in the case of artisanal mining, the ‘good ASGM’ is defined and policed by Western consumers and expert-outsiders. We suggest that, by implication, (1) non-certified artisanal miners are portrayed as incapable of effectively managing their own resources, which instead ought to be managed by outsiders, and (2) the existing link between non-certified ASGM and rural development is made invisible.

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 score0.402
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.012
GPT teacher head0.240
Teacher spread0.228 · 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

Citations5
Published2025
Admission routes2
Has abstractyes

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