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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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Library Collection Development and Digital Resources
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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.

920 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.
920 works in the cohort · of 4,299,418page 2 of 19

Labels cover 20 of 920 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 920 of 920 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
“We Own It”
Andrew Waller, Gwen Bird
2006· article· en· The Serials Librarian· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
afffundunlabeled
Scoping reviews: establishing the role of the librarian
Martin Morris, Jill Boruff, Geneviève Gore
2017· article· en· Journal of the Medical Library Association JMLA· Computer Science
machine prediction:candidate · metaresearchconsensus · metaresearch
14
citations
afffundaboutunlabeled
Collection Development in the Era of Big Deals
Philippe Mongeon, Kyle Siler, Antoine Archambault, Cassidy R. Sugimoto, Vincent Larivière
2021· article· en· College & Research Libraries· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
13
citations
affaboutunlabeled
Restructuring the Academic Library
Ophelia Cheung, Susan Patrick, Brian Cameron, Elizabeth Bishop, Lucina Fraser
2003· article· en· Journal of Interlibrary Loan Document Delivery & Electronic Reserve· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
PDA and the humanities
Candice Dahl
2013· article· en· The Electronic Library· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affaboutunlabeled
Measuring use of licensed electronic resources
Dana Thomas, Catherine Davidson, Martha Kyrillidou, Terry Plum
2012· article· en· Library Management· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
10
citations
venueno affunlabeled
E-Book Discovery and Use Behaviour is Complex
Suzanne Lewis
2008· article· en· Evidence Based Library and Information Practice· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
aboutno affunlabeled
Annual Fund Programs for Academic Libraries
Jennifer Paustenbaugh, Lynn Trojahn
2000· article· en· Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
10
citations
affno abstractunlabeled
e-Books for Educational Uses
Ann-Louise Davidson, Saul Carliner
2013· book-chapter· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
10
citations
affunlabeled
Public library use of free e-resources
Heather Hill, Jenny Bossaller
2012· article· en· Journal of Librarianship and Information Science· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About