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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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Copyright and Intellectual Property
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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.

945 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.
945 works in the cohort · of 4,299,418page 2 of 19

Labels cover 9 of 945 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 945 of 945 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
Legal aspects of e‐books and interlibrary loan
Harald Müller
2012· article· en· Interlending & Document Supply· Business, Management and Accounting
machine prediction:candidate · scholarly_communicationconsensus · none
14
citations
affaboutunlabeled
User-generated online content 2: Policy implications
Michael B McNally, Samuel E. Trosow, Lola Wong, Caroline Whippey, Jacquelyn Burkell, Pamela J. McKenzie
2012· article· en· First Monday· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
13
citations
affvenueunlabeled
Stealing the Goose: Copyright and Learning
Rory McGreal
2004· article· en· The International Review of Research in Open and Distributed Learning· Business, Management and Accounting
machine prediction:candidate · scholarly_communicationconsensus · none
12
citations
affno abstractunlabeled
Copyright Defenses as User Rights
David Vaver
2013· article· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
The Ambiguous Nature of Copyright Users' Rights
Pascale Chapdelaine
2013· article· en· Scholarship at UWindsor (University of Windsor)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
10
citations
affaboutunlabeled
Controlled Digital Lending
Chad Currier, Alissa Centivany
2021· article· en· Proceedings of the Association for Information Science and Technology· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Contestability in the Digital Music Player Market
Wei Dai, Kam Yu
2018· article· en· Journal of Industry Competition and Trade· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
The Politics of Intellectual Property
Jessica Litman
2009· article· en· eYLS (Yale Law School)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Copyright Reform and Fact-Based Works
Teresa Scassa
2010· article· en· uO Research (University of Ottawa)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
The Purpose of Copyright Law in Canada
Daniel J. Gervais
2005· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About