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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
venuejournal
aboutaboutness

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 28 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.

affunlabeled
The Genealogy of Legal Positivism
David Dyzenhaus
2004· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
THE MANDATE AND THE TRUST
Tulai Dana Lucia
2020· article· en· Annals of Faculty of Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Fiduciary Accountability Transformed
Robert Flannigan
2009· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Two Models of General Jurisprudence
Dan Priel
2013· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
THE CANADIAN DEFAMATION ACTION
Hilary Young
2017· article· en· The Canadian Bar Review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
References to the Holocaust in English Law Reports
Aron Owen, David R. M. Irving, Robert Faurisson, A.R. Butz
2016· article· en· Canadian Journal of Biochemistry· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Compensation claims against trustees
Steven Elliott
2002· dissertation· en· Oxford University Research Archive (ORA) (University of Oxford)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
講演 The Canadian Legal System
Annalise Acorn
2008· article· ja· 愛知学院大学論叢 法学研究· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Fiduciary Agency Denied
Robert Flannigan
2021· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Resulting Trusts in Canada: Part 1
Robert Chambers
2002· article· en· Trust Law International· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A growing good faith in contracts
Julie‐Anne Tarr
2015· article· en· QUT ePrints (Queensland University of Technology)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Conscience With a Filter
Larissa Katz
2020· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About