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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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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.

3,084 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.
3,084 works in the cohort · of 4,299,418page 52 of 62

Labels cover 10 of 3,084 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 3,084 of 3,084 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.

affno abstractunlabeled
Supporting Discourse Phenomena in an Interoperable NLP Framework
Riza Batista-Navarro, Georgios Kontonatsios, Claudiu Mihăilă, Paul M. Thompson, Raheel Nawaz, Ioannis Korkontzelos +1 more
2013· article· en· Research Explorer (The University of Manchester)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A Digital Corpus of St. Lawrence Island Yupik
Lane Schwartz, Emily Chen, Hyunji Hayley Park, Edward Jahn, Sylvia L. R. Schreiner
2021· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The mathematics of language learning
András Kornai, Gerald Penn, James Rogers, Anssi Yli-Jyrä
2013· article· en· Työväentutkimus Vuosikirja· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
John Hoey and Richard Smith on OA
Peter Suber
2007· preprint· en· Computer Science
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
0
citations
aboutno affunlabeled
Willinsky on OA in Vancouver
Peter Suber
2005· preprint· en· Computer Science
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
0
citations
affunlabeled
Context-free grammars and languages
Jeffrey Shallit
2008· book-chapter· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
University of Washington at TAC 2011.
Prescott Klassen
2011· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Wordlists and Data-Driven Learning
Tom Cobb
2025· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Title Pending 8084
Daniel DeKerlegand, Jeffrey M. Leichman
2023· article· fr· Digital Studies / Le champ numérique· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Machine-Readable Dictionary (MRD)
2009· book-chapter· en· Encyclopedia of Database Systems· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Description of the Homebank Child/Adult Addressee Corpus (HB-CHAAC).
Elika Bergelson, Andrei Amatuni, Marisa Casillas, Amanda Seidl, Mélanie Söderström, Anne S. Warlaumont
2017· article· en· Conference of the International Speech Communication Association· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affno abstractunlabeled
Magpies Roost at Saskatoon in Record Numbers
John Patterson, Ron Jensen, Carol Blenkin
2023· article· en· Blue Jay· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Transported Dialect Features
Raymond Hickey
2023· other· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About