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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 5 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Wagging Wikipedia's long tail
Shane Greenstein
2007· article· en· IEEE Micro· Social Sciences
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
wikiSearch
Elaine G. Toms, Tayze Mackenzie, Chris Jordan, Sam Hall
2009· article· en· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
4
citations
affno abstractunlabeled
Improving Wikipedia skin disease content
Mary O. Hutton, Jennifer Dawson, Kachiu C. Lee, Peter R. Shumaker, Liz Doney, Robert P. Dellavalle
2019· letter· en· Journal of the American Academy of Dermatology· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Op‐Ed Writing Assignment in Supply Chain Management Courses
Hee Yoon Kwon, Jiayuan Zhang, Koray Özpolat, Yu‐Feng Lin, Adolf K.Y. Ng
2020· article· en· Decision Sciences Journal of Innovative Education· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Leveraging Wikidata to Build Scholarly Profiles as Service
Mairelys Lemus-Rojas, Jere D. Odell, Lucille Frances Brys, Mirian Ramirez Rojas
2022· article· en· KULA knowledge creation dissemination and preservation studies· Social Sciences
distilled prediction:candidate · stsconsensus · none
4
citations
affunlabeled
Fen Bilimleri Öğretmenlerinin Etkileşimli E-Kitap Kullanımına Yönelik Görüşlerinin İncelenmesi
Onur ÖZEKİNCİ, Elif Selcan ÖZTAY
2022· article· tr· Van Yüzüncü Yıl Üniversitesi Eğitim Fakültesi dergisi/Yüzüncü Yıl Üniversitesi Eğitim Fakültesi dergisi· Social Sciences
distilled prediction:candidate · metaepi_narrow+bibliometrics+sts+scholarly_communication+open_science+research_integrity+insufficient_payloadconsensus · metaepi_narrow+sts+open_science+research_integrity+insufficient_payload
3
citations
aboutno affunlabeled
Destructive Creativity on the Social Web
Steve Wheeler
2009· book-chapter· en· IGI Global eBooks· Social Sciences
distilled prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About