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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.

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.

affaffiliation
fundfunder
venuejournal
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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 2 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.

venueno affunlabeled
Malian Crisis and the Lingering Problem of Good Governance
Jaimie Bleck, Abdoulaye Dembele†, Sidiki Guindo‡
2016· article· en· Stability International Journal of Security and Development· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
25
citations
affno abstractunlabeled
Ownership risk and the use of common-pool natural resources
Jérémy Laurent‐Lucchetti, Marc Santugini
2011· article· en· Journal of Environmental Economics and Management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
24
citations
aboutno affunlabeled
Oil and Politics: Talisman Energy and Sudan
Stephen J. Kobrin
2004· article· en· New York University journal of international law & politics/New York University journal of international law and politics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
23
citations
fundno affunlabeled
Effects of ups and downs of the Mongolian mining sector
Tsolmon Baatarzorig, Ragchaasuren Galindev, Hélène Maisonnave
2018· article· en· Environment and Development Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Oil Exports and the Iranian Economy
Hadi Salehi Esfahani, Kamiar Mohaddes, M. Hashem Pesaran
2010· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
22
citations
fundno affunlabeled
Democratic Deliberation and the Resource Curse
Justin Sandefur, Nancy Birdsall, James S. Fishkin, Mujobu Moyo
2022· article· en· World Politics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
20
citations
venueno affunlabeled
Dutch disease and the oil boom and bust
Brock Smith
2019· article· en· Canadian Journal of Economics/Revue canadienne d économique· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
18
citations
aboutno affunlabeled
Upholding Indigenous Economic Relationships
Shalene Wuttunee Jobin
2023· book· en· University of British Columbia Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
18
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

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