MétaCan
Menu
Back to cohort
Record W4400554585 · doi:10.1080/03057070.2024.2372742

A Fractured State: Local Powers and Mining Politics in Rural North-Western Zambia

2024· article· en· W4400554585 on OpenAlexaboutno aff
Robby Kapesa

Bibliographic record

VenueJournal of Southern African Studies · 2024
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsState (computer science)Political scienceGeographyLawComputer science

Abstract

fetched live from OpenAlex

This study employs an explorative case study methodology, which utilises interviews, historical analysis and observations to identify and analyse the local powers and politics that influence large-scale mining development in developing societies. It uses the Trident Mine Project in Kalumbila in rural North-Western Zambia as a case study. The Trident Project comprises an existing copper mining/processing operation at Sentinel Mine and a nickel mining development project at Enterprise Mine. It is owned by Kalumbila Minerals Ltd, a subsidiary of the Canadian-listed metal and mining company First Quantum Minerals Ltd. Situated on land previously managed under customary tenure, the Trident Project presents a useful case study to explore the tensions and contradictions that arose in this large-scale mining development. The findings reveal how several local actors influence large-scale mining and the nature and direction of the mining-induced socio-economic benefits. This implies that the state is not limited to a duality (civil and customary powers) of the type identified by Mahmood Mamdani. Instead, the paper explores several public and ‘private’ power poles that often function as a fractured state.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.404

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 head0.011
GPT teacher head0.233
Teacher spread0.222 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Southern African StudiesSame topicMining and Resource ManagementFrench-language works237,207