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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 Administration
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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.

1,790 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,790 works in the cohort · of 4,299,418page 3 of 36

Labels cover 49 of 1,790 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 1,790 of 1,790 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.

affgemma · bibliometricsgpt · bibliometricsmodels split
A bibliometric analysis of race-related research in LIS
Philippe Mongeon, Alison Brown, Ratna Dhaliwal, Jessalyn Hill, Amber Matthews
2021· article· en· Education for Information· Social Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
11
citations
venueaboutno affunlabeled
“Nice White Meetings”
Lalitha Nataraj, Holly Hampton, Talitha Matlin, Yvonne Nalani Meulemans
2020· article· en· Canadian Journal of Academic Librarianship· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affgemma · no categorygpt · no categorymodels agree
Using libraries in China: Know before you go
Chen Su, Jing Liu
2005· article· en· College & Research Libraries News· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
fundno affunlabeled
Epistemicide Beyond Borders
Jieun Yeon, Melissa J. Smith, Tyler Youngman, Beth Patin
2023· article· en· The International Journal of Information Diversity & Inclusion (IJIDI)· Social Sciences
machine prediction:candidate · stsconsensus · none
11
citations
affunlabeled
Advancing Equitable Cataloging
Brian M. Watson
2021· article· en· NASKO· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
11
citations
affvenueunlabeled
In Search of Shifting and Emergent Librarian Identities
Sara Klein, Bartlomiej A. Lenart
2020· article· en· Partnership The Canadian Journal of Library and Information Practice and Research· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
10
citations
venueno affunlabeled
Nānā I Ke Kumu - Look to the Source
Rae‐Anne Montague, Kuuleilani Reyes, Keikilani Meyer
2021· article· en· School Libraries Worldwide· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations
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