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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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Institutional Repositories DataBase (IRDB)
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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
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aboutaboutness

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

1,957 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.
1,957 works in the cohort · of 4,299,418page 25 of 40

Labels cover 1 of 1,957 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 1,957 of 1,957 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.

fundno affno abstractunlabeled
A Study of Ongoing Changes in Modern Japanese
直哉 新野, 博人 梅林, 泰子 島田, 伸一 鳴海, 行洋 橋本
2014· report· ja· Institutional Repositories DataBase (IRDB)
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
English and Media Courses : Then and Now
ポール デル ロサリオ, Paul del Rosario
2010· article· en· Institutional Repositories DataBase (IRDB)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
性の多様性に関する教育実践の国際比較
太功耶 戸口, 真記子 葛西, Takuya TOGUCHI, Makiko Kasai
2016· article· ja· Institutional Repositories DataBase (IRDB)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
The Glowing Spirit with the Tax Reform for Fairness
ユキオ トミオカ
2017· article· ja· Institutional Repositories DataBase (IRDB)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About