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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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Educational Innovations and Challenges
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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.

375 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.
375 works in the cohort · of 4,299,418page 1 of 8

Labels cover 3 of 375 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 375 of 375 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
Online learning as a strategic asset
Michael F. Beaudoin
2009· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
54
citations
venueno affunlabeled
Creativity in Modern Education
Duli Pllana
2019· article· en· World Journal of Education· Computer Science
machine prediction:candidate · noneconsensus · none
46
citations
venueno affunlabeled
Role of Foreign Language Teacher Shaping Students’ Research Skills
Olga Vladimirovna Lopatina, Anatoly Mikhailovich Borisov, Irina I. Leyfa, Ilkhamiya I. Galimzyanova, Lyubov Pavlovna Yatsevich, Marina Alexandrovna Demyanenko +1 more
2015· article· en· Asian Social Science· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
venueno affunlabeled
Pedagogical Competence of the High School Teacher
Anastasia V. Fakhrutdinova, M Ziganshina, Veronika Alexandrovna Mendelson, Lyubov Chumarova
2020· article· en· International Journal of Higher Education· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
venueno affunlabeled
Federal Public Administration Implementation in Vocational Education
Elena Y. Levina, Aislu B. Yunusova, Albinа R. Fayzullina, Sergey V. Rassadin, Marat R. Lotfullin, Elvira N. Nuriyeva +1 more
2015· article· en· Review of European Studies· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Epistemological Foundations of Educational Design Research
Rebecca J. Hogue
2013· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations

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