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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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Corruption 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
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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.

730 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.
730 works in the cohort · of 4,299,418page 8 of 15

Labels cover 4 of 730 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 730 of 730 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
A Smarter Fight Against Corruption
Marina Zaloznaya, Freda B. Lynn
2021· article· en· Contexts· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
THINK PIECE ON ACCOUNTABILITY
Christian Maroy, Annelise Voisin
2017· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Why the Growing Concern About Corruption?
Fritz Heimann, Mark Pieth
2017· book· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Norms and Institution Formation
Patrick François
2008· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Relative measures of economic insecurity
Walter Bossert, Conchita D’Ambrosio
2024· article· en· Social Choice and Welfare· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Corruption and Misery: What Lessons for Developing Countries?
Dieudonné Mignamissi, Marcellin Henri Ndong Ntah, Jose Claude Nyamou Mokompea, Eric Xaverie Possi Tebeng
2025· article· en· Journal of the Knowledge Economy· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
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How this was built: Screen · Findings · About