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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
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.

655 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.
655 works in the cohort · of 4,299,418page 3 of 14

Labels cover 18 of 655 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 655 of 655 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.

affaboutunlabeled
Information literacy skills on the go
Alice Schmidt Hanbidge, Tony Tin, Nicole Sanderson
2018· article· en· Journal of Information Literacy· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Connecting to the Internet
Ann Curry, Alison Curtis
2000· article· en· Library & Information Science Research· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
6
citations
venueno affunlabeled
Nursing faculty and use of Web 2.0
Deb Davison, Tanya Naguszewski, Monica Piasta, Bobbie Siler, Laurie Jowers Ware
2013· article· en· Journal of Nursing Education and Practice· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Library Website Visits and Enrollment Trends
Linda Anderson
2016· article· en· Evidence Based Library and Information Practice· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
A Traditional Library Goes Virtual.
Stephanie Boyd
2002· article· en· Online· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
5
citations
aboutno affunlabeled
Designing a Collaborative Blog about Student Success
Melissa Johnson, Alexander S Plattner, Lauren Hundley
2011· article· en· Lincoln (University of Nebraska)· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Serving Diverse Knowledge Systems in Academia
William F. Birdsall
2009· article· en· Partnership The Canadian Journal of Library and Information Practice and Research· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
venueno affgemma · scholarly_communicationgpt · scholarly_communicationmodels split
Authority 3.0: Friend or Foe to Scholars?
Michael C. Jensen
2007· article· en· Journal of Scholarly Publishing· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
4
citations
affunlabeled
The 21st-Century School Library
Sonia Pawlowsky, Thomas G. Ryan
2016· article· en· International Journal of Educational Reform· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
The library's place in a mobile space
Graham McCarthy, Sally Wilson
2018· book-chapter· en· Facet eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Encouraging essential skills
Andrew Gregg, Virginia McKendry
2019· article· en· Journal of New Librarianship· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Global library marketing research
Dinesh K. Gupta, B. M. Gupta, Ritu Gupta
2018· article· en· Library Management· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affvenueaboutgemma · no categorygpt · no categorymodels agree
Academic Uses of Google Earth and Google Maps in a Library Setting
Eva Dodworth, Andrew Nicholson
2013· article· en· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About