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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 13 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 affunlabeled
Flipping the Third Space
Robyn Markus-Sandgren
2021· article· en· IASL Annual Conference Proceedings· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Globalisation and New Technology
André H. Caron
2011· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
M-Learning
Saif alZahir
2011· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
The Virtual Learning Commons
David V. Loertscher, Blanche Woolls
2021· article· en· IASL Annual Conference Proceedings· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
0
citations
venueno affunlabeled
Introduction to the Special Issue
Rahul Kumar, Michael Mindzak, Sarah Elaine Eaton
2024· article· en· Brock Education Journal· Computer Science
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
O INSTAGRAM COMO RECURSO PEDAGÓGICO NO ENSINO DE QUÍMICA: UM RELATO DE EXPERIÊNCIA
Ismael de Alencar Pessoa, Jefferson Costa de Oliveira, Tatiana Pires de Souza
2024· article· pt· Revista Ibero-Americana de Humanidades, Ciências e Educação· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+research_integrity+insufficient_payloadconsensus · metaepi_narrow+insufficient_payload
0
citations
venueno affunlabeled
Using Web 2.0 Tools to Teach Reading Biography
Rachmawati Rachmawati
2021· article· en· IASL Annual Conference Proceedings· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
0
citations
affunlabeled
e-Learning Trends - The Mobile Environment
Katy Campbell
2004· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Terres promises
2020· book· en· Industrias Culturais (Universidade de Coimbra)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
10.51847/Joy2HjwuUV
2000· article· en· Time to knit· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
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
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How this was built: Screen · Findings · About