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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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Online Learning and Analytics
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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.

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 23 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
AUTOMATED TOOLS FOR MULTI-CAMPUS UNIVERSITY COURSE ASSESSMENT
Amin Haj-Ali, Adnan Harb, Samih Abdul-Nabi, H El-Hage, Bassam Hussein
2013· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Book Reviews – 2019
Kimberly Safford, Matthew Stranach, Simon Atkinson, Pam Foley
2019· article· en· Journal of Interactive Media in Education· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
SIT Academy: Online learning using the MOOC approach
Theeranuch Sirikojakorn, Jirayu Chamamahattana, Vajirasak Vanijja, Nipon Charoenkitkarn, Jonathan H. Chan
2018· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
User Centred e-learning, opportunities and challenges: a literature review
Sonica Katoch, Vivian Doan, Nastaran Dadashi
2017· review· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+research_integrityconsensus · none
1
citations
affunlabeled
Hybridation d'un MOOC : quels moyens déployer ?
Stéphanie Delpeyroux, Florence Rouveix, Magali Guyon, Rémi Bachelet, Corinne Truche
2017· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communicationconsensus · none
1
citations
affno abstractunlabeled
Help-Seekers and Help-Providers in MOOCs
Hedieh Najafi, Carol Rolheiser, Laurie Harrison, Will Heikoop
2018· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
aboutno affunlabeled
Gamification in MOOCs - General Overview
Mohammad Khalil, Dan Davis, Jacqueline Wong
2018· article· en· Research Repository (Delft University of Technology)· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Bridging Fields at a Critical Time
Jon Baggaley
2013· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Computer Science
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
What Learners Want: Revealing the Focal Topics in MOOC Reviews
Jingya Liu, Qiao Zhong, Zequan Shen, Zhao Du, Fang Wang, Shan Wang
2023· book-chapter· en· Lecture notes in business information processing· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
A Comparative Study of Learning Outcomes for Online Learning Platforms
François St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung D. Vu +13 more
2021· preprint· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+research_integrityconsensus · none
1
citations
afffundvenueunlabeled
Massive Open On-line Courses in Engineering
Nafia Al-Mutawaly, Michael Piczak
2015· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Breadth and Depth of Learning Analytics
David Boulanger, Jérémie Seanosky, Rébecca Guillot, Vive Kumar, Kinshuk Kinshuk
2016· book-chapter· en· Lecture notes in educational technology· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Unveiling learner experience in MOOC reviews
Jingya Liu, Zhao Du, Qiao Zhong, Fang Wang, Shan Wang
2024· article· en· International Journal of Networking and Virtual Organisations· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Editorial – Volume 16, Issue Number 6
Markus Deimann, Sebastian Vogt
2015· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations

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