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Record W3009301188 · doi:10.1111/dech.12584

The Moral Politics of Gendered Labour in Artisanal Mining in Sierra Leone

2020· article· en· W3009301188 on OpenAlexfundno aff
Blair Rutherford

Bibliographic record

VenueDevelopment and Change · 2020
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSierra leoneLivelihoodPoliticsScholarshipSociologyGold miningMoral economyPolitical scienceGender studiesLawSocioeconomicsGeography

Abstract

fetched live from OpenAlex

ABSTRACT Drawing on current anthropological approaches to labour, this article examines some of the moral politics mobilized around women and artisanal mining in policy‐inflected scholarship with reference to particular gold mining zones in Tonkolili district, Sierra Leone. In so doing, the article proposes that such a focus on labour not only allows one to appreciate how sentiments concerning (im)proper behaviour infuse wider policy proposals to amend social arrangements in regard to what is called ‘artisanal mining’, but it also offers insight into some of the enduring moral politics helping to constitute women as ‘family workers’ in the actual artisanal gold mining zones. The article suggests that examining the overlapping moral politics constituting women's labour practices provides a more supple understanding of the contested economic possibilities for women in this livelihood practice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.033
Scholarly communication0.0060.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.060
GPT teacher head0.217
Teacher spread0.157 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations16
Published2020
Admission routes1
Has abstractyes

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