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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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Social Media and Politics
Retraction
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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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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.

2,257 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.
2,257 works in the cohort · of 4,299,418page 32 of 46

Labels cover 12 of 2,257 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 2,257 of 2,257 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.

fundno affunlabeled
Contributors
2020· book-chapter· en· The MIT Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Why youth do no vote
Emily-Anne Paul
2010· article· en· Canadian parliamentary review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Introduction
Caitlin Andrews-Lee
2021· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Minding the Public Purse
Robert J. Drummond
2004· article· en· Canadian women's studies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
The hidden injuries of media power
Nick Couldry
2001· preprint· en· London School of Economics and Political Science Research Online (London School of Economics and Political Science)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Social Media and the Quest for Democracy
Paul R. Carr, Michelli Aparecida Daros, Sandra Liliana Cuervo, Gina Thésée
2020· book-chapter· en· Springer international handbooks of education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Introduction
David Kergel, Peter Pericles Trifonas, Arkaitz Letamendia, Michael Paulsen, Samuel Nowakowski, Patrik Kjærsdam Telléus +2 more
2022· book-chapter· de· Diversität und Bildung im digitalen Zeitalter· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
A2016_dk.rds
Gregory Eady, Peter John Loewen
2020· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Popularizing the Internet
Janet Abbate
2018· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Twitter
Alfred Hermida
2015· reference-entry· en· The International Encyclopedia of Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
CCES_Sigma_2016.R
Gregory Eady, Peter John Loewen
2020· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Activating the Fifth Estate
Jonathan A. Obar, Leslie Regan Shade
2016· book-chapter· en· Fordham University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Modeling Internet Penetration in Canada
Noura Algwaiz
2010· dissertation· en· uO Research (University of Ottawa)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Editorial for the CHB special issue on MMOGs
Georgios Christou, Effie Lai‐Chong Law, David Geerts, Lennart E. Nacke, Panayiotis Zaphiris
2015· article· en· Computers in Human Behavior· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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