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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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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.

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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.

37,702 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.
37,702 works in the cohort · of 4,299,418page 535 of 755

Labels cover 42 of 37,702 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 37,702 of 37,702 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.

affno abstractunlabeled
Do Security Breaches Matter? The Shareholder Puzzle
Allen Michel, Jacob Oded, Israel Shaked
2019· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
International capital markets during the COVID-19 crisis
Laura Álvarez Román, Alberto Fuertes Mendoza, Luis Molina Sánchez, Emilio A. Muñoz de la Peña
2021· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Knowledge-Based Economy and Canada
Vijay Kumar Kaul
2003· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
On the Limits of Proportionality
Iryna Ponomarenko
2020· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Battle of Factors
Kodjovi Assoé, Najah Attig, Oumar Sy
2024· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Prudent Parliament and Section 24(1)
Peter Wills, Mary Angela Rowe
2023· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Functional motif discovery in stock market prices
Marzia A. Cremona, Lyubov Doroshenko, Federico Severino
2023· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Overview of the PluriCourts EFTA Court Database
Even Espelid, Tommaso Pavone, Øyvind Stiansen
2024· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Theorizing Criminal Law Reform
Roger A. Shiner
2009· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Strength in Numbers in Policymaking
David Byrne, Arvind Magesan, Branko Bošković
2012· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
Introduction: Citizenship in a Connected Canada
Elizabeth Dubois, Florian Martin-Bariteau
2020· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About