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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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Global trade and economics
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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.

4,201 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.
4,201 works in the cohort · of 4,299,418page 66 of 85

Labels cover 6 of 4,201 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 4,201 of 4,201 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
Essays in theoretical and applied econometrics
Wanling Huang
2010· dissertation· en· Spectrum Research Repository (Concordia University)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Do trade missions increase trade?
Keith Head, John Ries
2010· preprint· en· Canadian Journal of Economics/Revue canadienne d économique· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
NAFTA 20 Years Later
Adam S. Posen, Gary Clyde Hufbauer, Cathleen Cimino, Tyler Moran, Jaana Remes, Theodore H. Moran +5 more
2014· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The U.S. – China Competition and Russia
Sergey Rogov
2021· article· en· USA & Canada Economics – Politics – Culture· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Estimating the Trade Duration of Kazakhstan’s Wheat Exports
Nizami Imamverdiyev, Sven Anders, Thomas Glauben, Oleksandr Perekhozhuk, Sören Prehn
2015· article· en· 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
NAFTA and ASEAN
2017· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The winners and losers in the new NAFTA
Atif Kubursi
2018· preprint· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Trois essais en commerce international
Guy Chapda Nana
2013· article· fr· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Review of Literature
Kakali Mukhopadhyay, Paul J. Thomassin
2009· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Strategies for Green Trade
Kakali Mukhopadhyay, Paul J. Thomassin
2009· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

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