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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Natural Resources and Economic Development
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

609 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
609 works in the cohort · of 4,299,418page 3 of 13

Labels cover 1 of 609 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 609 of 609 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
The resource curse
Philippe Le Billon
2005· article· en· The Adelphi Papers· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
International reserves and economic growth
Ozan Sula, Umut Oguzoglu
2020· article· en· International Review of Economics & Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Non-renewable resource Stackelberg games
Rui Wan, John R. Boyce
2013· article· en· Resource and Energy Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Will solar energy escape the natural “resource curse”?
Carole Brunet, Michel A. Bouchard, Pierre Baptiste, O. Savadogo, Youba Sokona, Nicolás Merveille
2022· article· en· Energy Strategy Reviews· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Time inconsistent resource conservation contracts
Sumeet Gulati, James Vercammen
2006· article· en· Journal of Environmental Economics and Management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Terms of Trade Shocks and Economic Recovery
Norbert Funke, Patrick Imam, Eleonora Granziera
2008· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
New Approaches to the Governance of Natural Resources
J. Andrew Grant, W. R. Nadège Compaoré, Matthew I. Mitchell
2015· book· en· Palgrave Macmillan UK eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
aboutno affunlabeled
Perils of Plenty
Jonathan N. Markowitz
2020· book· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
10
citations
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