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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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Dispute Resolution and Class Actions
Retraction
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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.

608 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.
608 works in the cohort · of 4,299,418page 1 of 13

Labels cover 1 of 608 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 608 of 608 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
Class Actions in Australia
Michael Legg, Samuel Hickey
2021· book-chapter· en· Cambridge University Press eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Antecedents of attitude towards online mediation
Ofir Turel, Yufei Yuan, J. L. Rose
2007· article· en· Group Decision and Negotiation· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
16
citations
aboutno affunlabeled
The Evolution of the Class Action Trial in Ontario
Jon Foreman, Genevieve Meisenheimer
2014· article· en· Scholarship@Western (Western University)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
13
citations
aboutno affunlabeled
Class Actions: The Canadian Experience
Garry D. Watson
2001· article· en· Duke journal of comparative & international law· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
12
citations
aboutno affunlabeled
Judges and technology
Tania Sourdin
2021· book-chapter· en· Edward Elgar Publishing eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
12
citations
aboutno affunlabeled
Supporting Accountability in the Field of Mediation
Margaret S. Herrman, Nancy L. Hollett, Dawn Goettler Eaker, Jerry Gale, Mark R. Foster
2002· article· en· Negotiation Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
11
citations
affvenueno abstractunlabeled
A Layered Approach to Internet Legal Analysis
Craig McTaggart
2003· article· en· McGill Law Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
Designing Online Dispute Resolution
Janet Martinez
2020· article· en· eYLS (Yale Law School)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affno abstractunlabeled
Consumer Collective Redress in Canada
Catherine Piché, Geneviève Saumier
2018· article· en· Japanese Yearbook of International Law· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Der Rückgang der Eingangszahlen bei den Zivilgerichten
Caroline Meller-Hannich, Stefan Ekert, Monika Nöhre, Armin Höland, Katharina Gelbrich, Lisa Poel +2 more
2023· book· en· Nomos Verlagsgesellschaft mbH & Co. KG eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About