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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
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
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 1 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
The Internationalisation of Copyright Law
Catherine Seville
2006· book· en· Cambridge University Press eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
167
citations
aboutno affunlabeled
The Parody Exception in Copyright Law
Sabine Jacques
2019· book· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
57
citations
affunlabeled
Legal reform to enhance global text and data mining research
Sean Fiil-Flynn, Brandon Butler, Michael W. Carroll, Or Cohen‐Sasson, Donna Craig, Lucie Guibault +12 more
2022· article· en· Science· Business, Management and Accounting
machine prediction:candidate · scholarly_communicationconsensus · none
40
citations
venueaboutno affunlabeled
Canadian Copyright: A Citizen's Guide
Peter James
2008· article· en· Partnership The Canadian Journal of Library and Information Practice and Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
32
citations
affaboutunlabeled
Electronic Reserves and the Copyright Challenge in Canada
Joan Dalton
2007· article· en· Journal of Interlibrary Loan Document Delivery & Electronic Reserve· Business, Management and Accounting
machine prediction:candidate · scholarly_communicationconsensus · none
22
citations
aboutno affunlabeled
Copyright User Rights
Pascale Chapdelaine
2017· book· en· Oxford University Press eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
The Property Attributes of Copyright
Pascale Chapdelaine
2014· article· en· eYLS (Yale Law School)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
15
citations
aboutno affunlabeled
The Canadian Copyright Story
Michael Geist
2017· book-chapter· en· Cambridge University Press eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
15
citations
affaboutunlabeled
Taking User Rights Seriously
Abraham Drassinower
2005· article· en· TSpace (University of Toronto)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
14
citations
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

How this was built: Screen · Findings · About