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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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Wikis in Education and Collaboration
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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

609 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.
609 works in the cohort · of 4,299,418page 1 of 13

Labels cover 8 of 609 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 609 of 609 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
Chatter on the red
Kate Starbird, Leysia Palen, Amanda Hughes, Sarah Vieweg
2010· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
444
citations
affunlabeled
Motivation for Open Collaboration
Nama Budhathoki, Caroline Haythornthwaite
2012· article· en· American Behavioral Scientist· Social Sciences
machine prediction:candidate · open_scienceconsensus · none
259
citations
affunlabeled
Wikipedia: A Key Tool for Global Public Health Promotion
James Heilman, Eckhard Kemmann, Michael Bonert, Anwesh Chatterjee, Brent Ragar, G. M. Beards +13 more
2011· article· en· Journal of Medical Internet Research· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
239
citations
afffundunlabeled
A community-sourced glossary of open scholarship terms
Sam Parsons, Flávio Azevedo, Mahmoud Medhat Elsherif, Samuel Guay, Owen N. Shahim, Gisela Govaart +106 more
2022· article· en· Nature Human Behaviour· Social Sciences
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
161
citations
affunlabeled
Evolution of Wikipedia’s medical content: past, present and future
Thomas Shafee, Gwinyai Masukume, Lisa Kipersztok, Diptanshu Das, Mikael Häggström, James Heilman
2017· article· en· Journal of Epidemiology & Community Health· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
102
citations
affunlabeled
Are wikis usable?
Alain Désilets, Sébastien Paquet, Norman G. Vinson
2005· article· es· Social Sciences
machine prediction:candidate · noneconsensus · none
81
citations
affno abstractunlabeled
Readability and quality of wikipedia pages on neurosurgical topics
Omeed Modiri, Daipayan Guha, Naif M. Alotaibi, George M. Ibrahim, Nir Lipsman, Aria Fallah
2018· article· en· Clinical Neurology and Neurosurgery· Social Sciences
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
55
citations
affunlabeled
Scholarly Networks as Learning Communities
Emmanuel Koku, Barry Wellman
2004· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
47
citations
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