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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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Library Science and Information Systems
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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.

616 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.
616 works in the cohort · of 4,299,418page 2 of 13

Labels cover 19 of 616 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 616 of 616 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
The Making of RDA
Tom Delsey
2016· article· en· Università di Firenze - Italian Journal of Library and Information Science· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
4
citations
affunlabeled
ARIEL at TRIUMF: Science and Technology
Jonathan Bagger, F. Ames, Yu. Bylinskii, A. Gottberg, Kathryn Hayashi, O. Kester +4 more
2018· article· en· JACOW· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Towards Universal Serial Item Names
Robert D. Cameron
2006· article· en· Texas Digital Library (University of Texas)· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affno abstractunlabeled
Culture and identity in knowledge organization : proceedings of the tenth International ISKO Conference, 5-8 August 2008, Montréal, Canada, organized by École de bibliothéconomie et des sciences de l'information, Université de Montréal and International Society for Knowledge Organization (ISKO)
Clément Arsenault, Joseph T. Tennis
2008· book· en· Ergon Verlag eBooks· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
3
citations
fundno affunlabeled
Union Catalogs at the Crossroad
Janifer Gatenby, Rein Van Charldorp, Karen Coyle, Stefan Gradmann, Ole Husby, Annu Jauhiainen +23 more
2004· book· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
fundno affunlabeled
One for Nine Ten: Cataloging for Consortia Collections, a UC model
Renee Ka Yin Chin, Rebecca Culbertson, Deng Shi, Kathleen Garvey-Clasby, Bie-hwa Ma, Donal O'Sullivan +1 more
2017· article· en· Cataloging & Classification Quarterly· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
3
citations
affvenueunlabeled
Enseigner les RDA : un défi de taille
Nathalie Pilon
2015· article· fr· Documentation et bibliothèques· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Identifying Resources: FRBR and Accessibility
Chris Oliver
2017· article· en· Scientific and Technical Libraries· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
2
citations
affunlabeled
Metadata Formats
Daan Broeder, Dieter Van Uytvanck
2014· book· en· Oxford University Press eBooks· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
2
citations
affunlabeled
FRBR implementation and user research
Yin Zhang, Imma Subirats, Athena Salaba, Claudia Nicolai, Marcia Lei Zeng, Diane I. Hillmann +2 more
2010· article· en· Proceedings of the American Society for Information Science and Technology· Computer Science
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
2
citations
afffundaboutunlabeled
Decolonizing the Authority File
Susan Dahl, K. I. E. Macleod
2023· article· en· The International Journal of Information Diversity & Inclusion (IJIDI)· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
2
citations
aboutno affunlabeled
Harmonization of USMARC, CAN/MARC, and UKMARC
Sally H. McCallum
2000· article· en· Library Resources and Technical Services· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
2
citations
venueno affunlabeled
Detecting Footnotes in 32 million pages of ECCO
Sherif Abuelwafa, Sara Zhalepour, Ehsan Arabnejad, Mohamed Mhiri, Emilienne Greenfield, James P. Ascher +6 more
2018· article· en· Journal of Cultural Analytics· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
ISNI : un identifiant passerelle
Anila Angjeli
2015· article· fr· Documentation et bibliothèques· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
2
citations
affunlabeled
Developing FRBR‐based library catalogs for users (sponsored by SIG/CR)
Yin Zhang, Maja Žumer, Athena Salaba, Tanja Merˇun, Jennifer Bowen, Rebekah Kilzer
2011· article· en· Proceedings of the American Society for Information Science and Technology· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
2
citations
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