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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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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
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venuejournal
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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.

1,694 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.
1,694 works in the cohort · of 4,299,418page 9 of 34

Labels cover 10 of 1,694 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 1,694 of 1,694 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affunlabeled
MOOCs Readiness
T. Subramaniam, Nur Amalina Diyana Suhaimi, Latifah Abdol Latif, Zorah Abu Kassim, Mansor Fadzil
2019· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
17
citations
venueno affunlabeled
MOOCs as a Research Agenda: Changes Over Time
Shunan Zhang, ShaoPeng Che, Dongyan Nan, Jang Hyun Kim
2022· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
16
citations
afffundaboutunlabeled
Learning analytics for the social media age
Anatoliy Gruzd, Caroline Haythornthwaite, Drew Paulin, Rafa Absar, Michael Huggett
2014· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Designing CIspace
Saleema Amershi, Nicole Arksey, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, Heather Maclaren +1 more
2005· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Benefiting from MOOC
Youdan Zhang
2013· article· en· EdMedia: World Conference on Educational Media and Technology· Computer Science
distilled prediction:candidate · noneconsensus · none
15
citations
aboutno affunlabeled
Learning Analytics in Higher Education
Jennifer Stokes, Anthea Fudge
2023· reference-entry· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
15
citations
affunlabeled
Predictive Modelling in Teaching and Learning
Christopher Brooks, Craig Thompson
2022· book-chapter· en· Solar eBooks· Computer Science
distilled prediction:candidate · research_integrityconsensus · none
15
citations
affunlabeled
Five years of IndiaHCI
Aakar Gupta
2015· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Search Engines in Learning Contexts: A Literature Review
Jaurès Styve Kameni Homte, Bernabé Batchakui, Roger Nkambou
2022· review· en· International Journal of Emerging Technologies in Learning (iJET)· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+research_integrityconsensus · none
14
citations

How this was built: Screen · Findings · About