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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 Science and Information Literacy
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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.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,585 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.
1,585 works in the cohort · of 4,299,418page 22 of 32

Labels cover 44 of 1,585 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 1,585 of 1,585 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.

venueno affunlabeled
Data Analytics to Improve School Libraries
Lesley S. J. Farmer
2016· article· en· IASL Annual Conference Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Measure TWYCE, Cut Once
Adrienne Findley-Jones
2022· article· en· ATLA Summary of Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Editorial: School Library Education
Julie I. Tallman
2000· editorial· en· School Libraries Worldwide· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
School Library Year Plans
Maria Eriksen Britt
2021· article· en· IASL Annual Conference Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Call for Papers: 16th BOBCATSSS Symposium
Editorial Team
2007· paratext· en· Evidence Based Library and Information Practice· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
The Best Way to Ask
Blanche Woolls
2021· article· en· IASL Annual Conference Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Collaboration is the Key
Elizabeth Greef
2021· article· en· IASL Annual Conference Proceedings· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
venueno affunlabeled
School Library Self-Evaluation
Isabel Mendinhos
2021· article· en· IASL Annual Conference Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
What Provosts Think Librarians Should Know
James J. O’Donnell, J. M. Creed, José-Marie Griffiths
2013· article· en· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
affvenueaboutunlabeled
Student Learning Through Inquiry
Dianne Oberg
2021· article· en· IASL Annual Conference Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Reinventing your Reference Collection
Cynthia Houston
2016· article· en· IASL Annual Conference Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Academic Curriculum Collections in North America
Sara Holder
2012· book-chapter· en· Advances in library and information science (ALIS) book series· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
What Provosts Think Librarians Should Know
Jeanine Stewart, Elizabeth S. Paul, John L. Vaughn, James J. O’Donnell
2014· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About