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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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Legal principles and applications
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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
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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.

2,078 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,078 works in the cohort · of 4,299,418page 30 of 42

Labels cover 1 of 2,078 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 2,078 of 2,078 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.

affaboutunlabeled
Legal Personality and the Canadian REIT
Robin F. Hansen
2017· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Directions to Convict
Peter Gillies, Andrew Dahdal
2006· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Good Faith and Wrongful Dismissal
Stephen Waddams
2002· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Impact of U.S. Tort Law in Canada
Lewis N. Klar
2011· article· en· Pepperdine Digital Commons (Pepperdine University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canada's legal inheritances
David Louden
2016· article· en· Books | Encyclopedia of Canadian Laws· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Groia: Four Strikes and You're Not Out
Arthur J. Cockfield
2018· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
CONFUSION IN MATERIAL CONTRIBUTION
David Mangan
2014· article· en· The Canadian Bar Review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reynolds V Times Newspapers
Hilary Young
2018· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Resolving the Status of the Bare Trust
Robert Flannigan
2019· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Writing About the Death Penalty
Douglas Hay
2006· article· en· eYLS (Yale Law School)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
PROBING THE FRONTIERS OF ADMINISTRATIVE LAW
Peter Johnston, Simon Young, Richard Hooker, Thomas Pontre
2011· article· en· University of Southern Queensland ePrints (University of Southern Queensland)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Class Action Value
Catherine Piché
2018· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About