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Record W3134932462

Raiding the Honey Pot: The Resource Curse and Weak Institutions at the Project Level

2017· article· en· W3134932462 on OpenAlexaff
Robert G. Boutilier

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsResource curseCurseNatural resourceDemocracyRevenueEconomicsLanguage changeResource (disambiguation)PoliticsDevelopment economicsPublic economicsPolitical scienceSociologyLawAccounting
DOInot available

Abstract

fetched live from OpenAlex

In the macroeconomics and political science literature, the natural resource curse hypothesis conditionally connects national dependence on natural resource revenues to both slow economic growth in the non-resource sectors and a lower quality of democratic institutions. Anthropologically oriented research on the cultures and communities where resources extraction occurs has documented a wider range of problems. This paper derives local-level predictions from the macro-level literature and checks their accuracy in the case of a gold mine on a Melanesian island in Papua New Guinea. Predictions of corruption and rent seeking were confirmed, but contrary to some conditional predictions, the local democratic institutions appeared to strengthen. The mining company’s policies temporarily restrained rent seeking and corruption but both returned as closure neared and the company reduced its presence. The findings largely support the insight from anthropological research that local communities take an active role in both resisting and promoting resource curse dynamics. Noting several recommended curse-reducing measures at the national level, the discussion articulates gaps in our knowledge about how resource extraction companies can restrain the curse locally.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.079
GPT teacher head0.267
Teacher spread0.188 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2017
Admission routes1
Has abstractyes

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