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Record W1571250031 · doi:10.1080/08941920.2015.1014606

Shifting Formalization Policies and Recentralizing Power: The Case of Zimbabwe's Artisanal Gold Mining Sector

2015· article· en· W1571250031 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSociety & Natural Resources · 2015
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
FundersConsortium of International Agricultural Research CentersCambridge Commonwealth TrustUniversity of EdinburghEuropean CommissionPierre Elliott Trudeau Foundation
KeywordsGold miningPower (physics)BusinessNatural resource economicsEconomic growthEnvironmental planningEconomic systemEconomicsGeography

Abstract

fetched live from OpenAlex

In the 1990s, government authorities in Zimbabwe introduced internationally praised policies to formalize the artisanal and small-scale mining sector, using a combination of district-administered and nationally administered licensing and capacity-building measures. While “decentralization” efforts in the 1990s and early 2000s were hampered by insufficient resource and power transfers, the model was seen by environmental scholars as a source of optimism. However, as economic crisis deepened in the 2000s, national officials (a) revoked the power of Rural District Councils to regulate riverbed alluvial gold panning and (b) increased barriers to formally licensed small-scale primary ore mining. This article examines the recentralization of power in this growing informal sector, exploring how heavy-handed implementation of national reforms contributed to livelihood insecurity. The study emphasizes how national officials invoked “formalization” rationales for mining policy shifts that obscured their underlying political and economic drivers, disempowering local district authorities and deepening the marginalization of informal livelihoods.

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.429

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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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