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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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Political Influence and Corporate Strategies
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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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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.

519 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.
519 works in the cohort · of 4,299,418page 9 of 11

Labels cover 2 of 519 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 519 of 519 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
RCV in Partisan and State Elections
James W. Endersby, Michael J Towle
2025· book-chapter· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Lobbying Mediocrity
L Scott
2008· editorial· en· Academic Emergency Medicine· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Membership: Priceless
Anne Katz
2010· article· en· Nursing for Women s Health· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Elsevier's first quarter lobbying budget
Peter Suber
2008· preprint· en· Business, Management and Accounting
machine prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Lobbist Organizations as Conflict Resolution Institute
Alyona Olegovna Molchanova, Evgeniya Valer’evna Khramova
2020· article· en· International Journal of Criminology and Sociology· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Canada
Beth Rochester, Alfred Hermida, Mary‐Lynn Young
2024· other· en· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Political Prediction Markets
Professor Reda Alhajj, Professor Jon Rokne
2014· book-chapter· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Characterization of organic rich...
2001· report· en· NPARC· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Network Ties and the Political Strategies of Firms
Cesi Cruz, Benjamin A.T. Graham
2017· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorial: Lobbying in comparative contexts
Adam J. Newmark, Anthony J. Nownes
2024· editorial· en· Frontiers in Political Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
The Business of Lobbying in China.
Kjeld Erik Brødsgaard
2007· article· en· Pacific Affairs· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About