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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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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 12 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.

affunlabeled
Integrating iPads into Learning and Libraries
Naomi Eichenlaub, Laine Gabel, Daniel Jakubek, Graham McCarthy
2021· preprint· en· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
0
citations
aboutno affno abstractunlabeled
The Future of SatCom in Canada: Schoolnet
Paul Bush
2021· article· en· Online Journal of Space Communication· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Media Clips: Freshman Survey; Meter Math
Eric Hoover
2007· article· en· Mathematics Teacher Learning and Teaching PK-12· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Designing for Networked Learning in The Third Space
Gale Parchoma, Kristine Dreaver‐Charles, Dorothea Nelson
2018· article· en· Proceedings of the International Conference on Networked Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Real experiences with a virtual workshop
Pat Millegan, E. Gerald Hensel, E. K. Biegert
2001· article· en· The Leading Edge· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Implement Mobile Learning ?at Open Universities
Harris Wang
2011· book-chapter· en· Advances in mobile and distance learning book series· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
iPad and iPod in the Language Classrooms
Martine Pellerin
2019· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Mobile Learning Numeracy in Ontario
2012· article· en· International Conference on Computers in Education· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About