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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.

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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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Law, governance and technology series
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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
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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.

19 results · 1 filter active ·
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20112024
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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.
19 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 19 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 19 of 19 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Argument Evaluation and Evidence
Douglas Walton
2015· book· en· Law, governance and technology series· Computer Science
distilled prediction:candidate · noneconsensus · none
61
citations
affaboutno abstractunlabeled
Privacy Impact Assessments in Canada
Robin Bayley, Colin J. Bennett
2011· book-chapter· en· Law, governance and technology series· Social Sciences
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Regulation from the South: IT Rules of India
Soorya Balendra
2024· book-chapter· en· Law, governance and technology series· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Regulating Social Media Platforms
Soorya Balendra
2024· book-chapter· en· Law, governance and technology series· Social Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Unveiling NetzDG: The Digital Berlin Wall
Soorya Balendra
2024· book-chapter· en· Law, governance and technology series· Social Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Introduction
Soorya Balendra
2024· book-chapter· en· Law, governance and technology series· Social Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Content Regulations by Platforms: Enduring Challenges
Soorya Balendra
2024· book-chapter· en· Law, governance and technology series· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Introduction to Argument and Explanation
Douglas Walton
2015· book-chapter· en· Law, governance and technology series· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Evaluating Expert Opinion Evidence
Douglas Walton
2015· book-chapter· en· Law, governance and technology series· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Attribution of a Portrait to Leonardo da Vinci
Douglas Walton
2015· book-chapter· en· Law, governance and technology series· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Conclusion and a Way Forward
Soorya Balendra
2024· book-chapter· en· Law, governance and technology series· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About