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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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Informal Logic
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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.

546 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.
546 works in the cohort · of 4,299,418page 2 of 11

Labels cover 0 of 546 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 546 of 546 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.

fundvenueno affunlabeled
Emotive Meaning in Political Argumentation
Fabrizio Macagno, Douglas Walton
2019· article· en· Informal Logic· Arts and Humanities
machine prediction:candidate · noneconsensus · none
34
citations
affvenueunlabeled
Adversariality and Argumentation
John Casey
2020· article· en· Informal Logic· Arts and Humanities
machine prediction:candidate · noneconsensus · none
32
citations
afffundvenueunlabeled
Argumentation and the Force of Reasons
Robert C. Pinto
2009· article· en· Informal Logic· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
venueno affunlabeled
The Paradox of Charity
Marcin Lewiński
2012· article· en· Informal Logic· Arts and Humanities
machine prediction:candidate · noneconsensus · none
31
citations
venueno affunlabeled
Virtue, In Context
Daniel H. Cohen
2013· article· en· Informal Logic· Arts and Humanities
machine prediction:candidate · noneconsensus · none
26
citations
affvenueaboutunlabeled
Emotive Language in Argumentation
Michael A. Gilbert
2014· article· en· Informal Logic· Arts and Humanities
machine prediction:candidate · noneconsensus · none
25
citations
venueno affunlabeled
Wigmore's Chart Method
Jean Goodwin
2000· article· en· Informal Logic· Social Sciences
machine prediction:candidate · noneconsensus · none
25
citations
venueno affunlabeled
Is Practical Reasoning Presumptive?
Christian Erik J Kock
2008· article· en· Informal Logic· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
afffundvenueunlabeled
Arguments as Abstract Objects
Paul Simard Smith, Andrei Moldovan
2011· article· en· Informal Logic· Psychology
machine prediction:candidate · noneconsensus · none
23
citations
venueno affunlabeled
Towards Computational Rhetoric
Floriana Grasso
2002· article· en· Informal Logic· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
venueno affunlabeled
Belief-Overkill in Political Judgments
Jonathan Baron
2009· article· en· Informal Logic· Social Sciences
machine prediction:candidate · noneconsensus · none
21
citations
afffundvenueunlabeled
Profiles of Dialogue for Relevance
Douglas Walton, Fabrizio Macagno
2016· article· en· Informal Logic· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affvenueunlabeled
Epistemology Mathematicized
John Woods
2013· article· en· Informal Logic· Arts and Humanities
machine prediction:candidate · noneconsensus · none
20
citations

How this was built: Screen · Findings · About