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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 Information Management
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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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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

38 results · 1 filter active ·
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20012025
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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.
38 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 38 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 38 of 38 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
References to Artificial Intelligence in Canada's Court Cases
Channarong Intahchomphoo, André Vellino, Odd Erik Gundersen, Christian Tschirhart, Eslam Shaaban
2020· article· en· Legal Information Management· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations
aboutno affunlabeled
Free Access to Law in Canada
Daniel Poulin
2012· article· en· Legal Information Management· Social Sciences
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
4
citations
affunlabeled
Sources of Legal Information in Hungary: Part 1
Tamás Böszörményi, Eszter K. Horváth, Tibor Kövér, Krisztina Orphanides
2006· article· en· Legal Information Management· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Local Law Society Libraries
Ruth Martin
2001· article· en· Legal Information Management· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
aboutno affunlabeled
Vendor Liaison: the Canadian Perspective
Shaunna Mireau
2011· article· en· Legal Information Management· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
A ‘Charity’ Case in Point
Rebecca Herle
2014· article· en· Legal Information Management· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
the JSI in Canada: Part 2
Phil Stant
2002· article· en· Legal Information Management· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
AALL 2004 – a Boston Beano
Hannah Fogg
2005· article· en· Legal Information Management· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Passing the Baton:
Jerry Dupont
2003· article· en· Legal Information Management· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Life at a Large US Law Firm
Joan Batchen
2006· article· en· Legal Information Management· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Yemisi Dina
Mike Breslin
2023· article· en· Legal Information Management· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The Nature of Canadian Federalism
John Eaton
2003· article· en· Legal Information Management· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About