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Record W2100718481 · doi:10.1080/03056240802411016

Liberalisation of the Gold Mining Sector in Burkina Faso

2008· article· en· W2100718481 on OpenAlexaboutno aff
Sabine Luning

Bibliographic record

VenueReview of African Political Economy · 2008
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsLiberalizationPublicationBusinessThe InternetState (computer science)Private sectorPower (physics)Economic growthEconomyPolitical scienceEconomicsLawAdvertising

Abstract

fetched live from OpenAlex

Since the liberalisation of the gold mining sector in the 1990s, the state of Burkina Faso has the task of allotting exploration and exploitation permits to private companies. International junior companies are exploring vast concessions in Burkina, and publish promising prospects on the internet. Scrutinising the presence of (inter)national companies both on the web and on the ground, the article shows how a set of concessions constitutes a ‘field’, defined as a system of social positions structured in terms of power relations. Concessions bring together a wide range of professionals in mining: potential investors, international companies, Burkinabe entrepreneurs and artisanal miners. The article describes how legal distinctions affect the power structure of working arrangements on one particular group of exploration permits in the central part of Burkina, currently held by the Canadian company High River Gold: the Bissa permit Group. It examines what happens on the ground when companies are allotted formal titles, whereas artisanal miners can at best aspire to obtain marginal places for their informal practices.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.080
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
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 head0.018
GPT teacher head0.214
Teacher spread0.196 · 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 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

Citations78
Published2008
Admission routes1
Has abstractyes

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