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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
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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.

1,097 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.
1,097 works in the cohort · of 4,299,418page 20 of 22

Labels cover 10 of 1,097 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 1,097 of 1,097 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
From Theory to Practice
Hope Seidman, Andrea Mamers, Bev Mitelman, Mariève Gauthier
2010· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
ASIS&T online education initiatives: Driving the future
Diane Rasmussen Pennington, Linda C. Smith, Jacob A. Ratliff, Julia Khanova
2012· article· en· Proceedings of the American Society for Information Science and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Learning through Immersive Virtual Environments
Erastus Ndinguri, Krisanna Machtmes, John Paul Hatala, Mary Leah Coco
2015· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
The Social Media Presence of Non-profit Organizations
Shannon Lucky, Dinesh Rathi
2013· article· fr· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Virtual Communities
Ben Kei Daniel
2009· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Socialization of Information: A New Research Agenda
Maria Cristina Soares Guimarães
2013· article· en· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Open Culture for Education and Research Environment
Ernesto Damiani, Paul G. Mezey, P. Pumilia, Anna Maria Tammaro
2011· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
0
citations
affunlabeled
Open Culture for Education and Research Environment
Ernesto Damiani, Paul G. Mezey, P. Pumilia, Anna Maria Tammaro
2011· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · open_scienceconsensus · none
0
citations
affunlabeled
Social network analysis as a means of exploring “users”
David Robins, Anabel Quan‐Haase, Caroline Haythornthwaite, Julie Hersberger, Catherine Johnson
2004· article· en· Proceedings of the American Society for Information Science and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Social Networks Members
Reda Alhajj, Jon Rokne
2014· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
User Engagement with Interactive Information Systems
Heather L. O'Brien
2025· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About