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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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Wikis in Education and Collaboration
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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
aboutaboutness

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 2 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.

affunlabeled
Wikipedia: friend or foe?
Kathy West, Janet Williamson
2009· article· en· Reference Services Review· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
32
citations
affunlabeled
Medical journals and Wikipedia: a global health matter
Gwinyai Masukume, Lisa Kipersztok, Diptanshu Das, Thomas Shafee, Michaël R. Laurent, James Heilman
2016· letter· en· The Lancet Global Health· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
26
citations
affunlabeled
Massively distributed authorship of academic papers
Bill Tomlinson, Joel Ross, Paúl André, Eric P. S. Baumer, Donald J. Patterson, Joseph Corneli +24 more
2012· article· en· Social Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
26
citations
venueno affunlabeled
Towards Emancipatory Use of a Medium: The Wiki
Anja Ebersbach, Markus Glaser
2004· article· en· The International Review of Information Ethics· Social Sciences
machine prediction:candidate · noneconsensus · none
24
citations
affno abstractunlabeled
A text-guided protein design framework
Shengchao Liu, Yanjing Li, Zhuoxinran Li, Anthony Gitter, Yutao Zhu, Jiarui Lu +7 more
2025· article· en· Nature Machine Intelligence· Social Sciences
machine prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
Understanding the Roles and Uses of Web Tutorials
Ben Lafreniere, Andrea Bunt, Matthew Lount, Michael Terry
2021· article· en· Proceedings of the International AAAI Conference on Web and Social Media· Social Sciences
machine prediction:candidate · noneconsensus · none
22
citations
affvenueunlabeled
Best Practices in Synchronous Conferencing Moderation
Lynn Anderson, Barb Fyvie, Brenda Koritko, Kathy McCarthy, Sonia Murillo Paz, Mary Rizzuto +2 more
2006· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
21
citations
venueno affunlabeled
The Scholarly Book Review in the Humanities
John W. East
2011· article· en· Journal of Scholarly Publishing· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
21
citations

How this was built: Screen · Findings · About