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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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Research in Social Sciences
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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.

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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.

552 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
552 works in the cohort · of 4,299,418page 10 of 12

Labels cover 2 of 552 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 552 of 552 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.

affvenueno abstractunlabeled
Practice Spotlight: Ron Donnelly
Ron F. Donnelly
2007· article· en· The Canadian Journal of Hospital Pharmacy· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Liiku, opi, osallistu
Helena Viholainen, T. Ahonen, R Alen, Marja Cantell, E Havas, J Kaartinen +8 more
2007· article· fi· University of Groningen research database (University of Groningen / Centre for Information Technology)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Hvordan profilere et vanlig land
Marte Fløan Beisvåg
2014· dissertation· da· Duo Research Archive (University of Oslo)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
The June 2009 Perspective on Canadian IYA2009 Activities
J. E. Hesser, C.D.S. Bartlett, K. Breland, Kathryn Hay, Dean Lane, Richard-Marc Lacasse +5 more
2009· article· en· American Astronomical Society Meeting Abstracts #214· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Voittamisen kulttuuri on täällä
Timo Koivurova
2016· article· fi· LaCRIS (University of Lapland)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Append Enterprise surveys panel data.do
Matthieu Chemin
2018· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Kiinan pelko jo liiallista: puheenvuoro
Timo Koivurova
2019· article· fi· LaCRIS (University of Lapland)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Politik og sociale meder
Sander Andreas Schwartz, Jakob Linaa Jensen
2021· article· da· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Child Welfare Policy (Canada)
2005· reference-entry· en· Encyclopedia of Social Welfare History in North America· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Children services integration
Jane Robson
2015· article· en· The Atrium (University of Guelph)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About