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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 2 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.

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
venueno affunlabeled
Project Method Efficiency for the Teachers’ Professional Activities
Oleksandr Коbernyk, Наталія Андріївна Коломієць, Olha Komar, Liudmyla Roienko, Любов Байдюк
2022· article· en· Journal of Curriculum and Teaching· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
venueno affunlabeled
Modern Development Strategy of Russian Education
Flera Gabdulbarovna Mukhametzyanova, Aleksandr Vladimirovich Morozov, Ramil R. Khayrutdinov, Yulia Mikhailovna Fedorchuk, Rita Rinatovna Aminova
2020· article· en· International Journal of Higher Education· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Enhancing the Performance of Andragogic Education
Валентина Володимирівна Сінельнікова, Татьяна Георгиевна Ивченко, Tetana Pistunova, Nataliya Regesha, Marharyta Skazhenyk
2022· article· en· Journal of Curriculum and Teaching· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Concept of Educational Assistance to Health Protection of the Individual
Elena A. Levanova, Ольга Рафаиловна Кокорина, Yuriy Vladimirovich Nikitin, Tatiyna Vladislavovna Perepelkina, Polina Anatolievna Segodina
2015· article· en· Global Journal of Health Science· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
10.51847/zBgBvaG
2000· article· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
4
citations
affno abstractgemma · no categorygpt · no categorymodels agree
The Challenge of Digital Technologies to Educational Reform
Shawn Michael Bullock
2010· article· en· EdMedia: World Conference on Educational Media and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Pedagogical Support of Socio-Professional Self-Determination of Students
Hanna Podliesna, Dmytro Bazela, Ольга Сергіївна Білаш, Liudmyla Vyshotravka, Liudmyla Khotsianovska, Hanna Perova
2022· article· en· Journal of Curriculum and Teaching· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Digitalization Trends in Education and Blended Learning
Andrey Danilov, Inna D. Nekrasova, Nnamdi Anyameluhor
2020· article· en· International Journal of Criminology and Sociology· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affvenueno abstractunlabeled
Digital Technologies in Higher Education
Gavin Park
2011· article· en· International journal of e-learning & distance education· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About