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Record W4401945544 · doi:10.1177/14634996241246494

A sovereign grant and a franchised state: Tin mineral supply chains in south Kivu of eastern Democratic Republic of Congo

2024· article· en· W4401945544 on OpenAlexfundno aff
Timo Makori

Bibliographic record

VenueAnthropological Theory · 2024
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
FundersUniversity of Toronto Scarborough
KeywordsSovereigntyDemocracyState (computer science)Political scienceGeographyEconomyPoliticsEconomicsLaw

Abstract

fetched live from OpenAlex

In resource extraction regions, nation-states tend to be depicted as the legal authority sanctioning profitable mining operations in close collaboration with corporate actors in their domestic territories. Especially in post-colonial contexts, corporate sovereignty is the term deployed by anthropologists to depict the acts of power by legally sanctioned corporate actors within a space of negotiation authorised by the state. A problem arises with this framing of sovereignty in contexts where the international norms of liberal democracy and development are violated due to constraints on the domestic authority of the state. In this scenario, the international order imposes itself to restore the authority of the state by governmentalising the security, territory, and market access of the state. Through ethnographic and field survey research in south Kivu of eastern Congo, I argue that the restoration and extension of state authority is a grant given to the state on condition of the responsible exercise of norms and practices of international markets. The tin, tantalum and tungsten (3T) mineral supply chain in south Kivu are an example of such a grant extended by international market actors and their related resource policy regimes to strengthen the state by franchising its apparatuses through practical mechanisms and discourse aimed at implementing traceability of so-called conflict minerals. Here, sovereignty is a position that is made by international market rule delivered through infrastructure in the form of 3T-mineral supply chains that franchise the state with the aim of optimising its fiscal reach and penetration among upstream mineral producers in south Kivu.

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)0.002
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 score0.064
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.006
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.232
Teacher spread0.219 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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