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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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Mobile Learning in Education
Retraction
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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
venuejournal
aboutaboutness

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

690 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.
690 works in the cohort · of 4,299,418page 14 of 14

Labels cover 2 of 690 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 690 of 690 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affno abstractunlabeled
Signalisation et anoïkose musculaire
2000· other· fr· Library and Archives Canada (Government of Canada)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Beyond Mobile Learning
André H. Caron, Letizia Caronia, Pascal Gagné
2011· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Introduction
Mohamed Ally
2018· book-chapter· en· Facet eBooks· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
Mobile Learning in Action
Andrew Kitchenham
2011· book-chapter· en· Advances in mobile and distance learning book series· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
venueno affno abstractunlabeled
P79: Fast Foods! – An Electronic Foods Curriculum
Georgia Jones, Jean C. Swanson, Patricia Fairchild
2008· article· en· Journal of Nutrition Education and Behavior· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0197-2510(10)70235-7
2000· article· en· Time to knit· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Practical Lessons using Online Quizzes
Judy Gnarpe, Adrienne Wright, J. A. Parrish, Rachel Milner
2013· article· en· EdMedia: World Conference on Educational Media and Technology· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Use of Tablets to Support Students
Rochelle Tkach
2018· article· en· 2018 Conference of the Canadian Society for the Study of Education· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
CALearning - Recomendação Híbrida de Conteúdos Educacionais
Gustavo R. Reis, Eduardo Barrére
2015· article· pt· Anais ... Workshops do Congresso Brasileiro de Informática na Educação· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+research_integrity+insufficient_payloadconsensus · metaepi_narrow+research_integrity+insufficient_payload
0
citations
affunlabeled
Using mobile technology for workplace learning
Franziska Trede, Susie Macfarlane, Lina Markauskaitė, Peter Goodyear, Celina McEwen, Freny Tayebjee
2016· article· en· ASCILITE Publications· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About