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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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Economic Growth and Development
Retraction
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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
aboutaboutness

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

463 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.
463 works in the cohort · of 4,299,418page 1 of 10

Labels cover 2 of 463 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 463 of 463 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.

affunlabeled
SUDANESE WOMEN ENTREPRENEURS
Dianne H.B. Welsh, Esra Memili, Eugène Kaciak, SADDIGA AHMED
2013· article· en· Journal of Developmental Entrepreneurship· Computer Science
machine prediction:candidate · noneconsensus · none
58
citations
affvenueunlabeled
Bridging the Gap: Micro-credentials for Development
Rory McGreal, Wayne Mackintosh, Glenda Cox, Don Olcott
2022· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
57
citations
fundno affunlabeled
Finance and Growth: A Critical Survey
Alex Trew
2006· preprint· en· RePEc: Research Papers in Economics· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations
aboutno affunlabeled
The Growth Costs of Malaria
D. D. Mccarthy, Holger Wolf, Yi Wu
2000· article· en· National Bureau of Economic Research· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
affunlabeled
Higher Education and Economic Growth in Africa
David E. Bloom, David Canning, Kevin Chan, Dara Lee Luca
2014· article· en· International Journal of African Higher Education· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
affunlabeled
Rent‐Seeking, Market Structure, and Growth
Daniel Brou, Michèle Ruta
2013· article· en· Scandinavian Journal of Economics· Computer Science
machine prediction:candidate · noneconsensus · none
28
citations
venueno affunlabeled
Economic Growth, Exchange Rate and Remittance Nexus: Evidence from Africa
Adedoyin Isola Lawal, Afees A. Salisu, Abiola John Asaleye, Ezeikel Oseni, Bukola Lawal-Adedoyin, Samuel Olatunde Dahunsi +4 more
2022· article· en· Journal of risk and financial management· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Social trust and firm innovation*
Sadok El Ghoul, Zhaoran Gong, Omrane Guedhami, Fangfang Hou, Wilson H.S. Tong
2023· article· en· Journal of International Financial Markets Institutions and Money· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations

How this was built: Screen · Findings · About