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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 and Blended Learning
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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.

3,545 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.
3,545 works in the cohort · of 4,299,418page 55 of 71

Labels cover 14 of 3,545 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 3,545 of 3,545 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

afffundvenueaboutunlabeled
Learning while impacting the community around you
Adama Oluma, Rania Al-Hammoud
2024· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Facilitating On-line Professional Development
Suzanne de Castell
2002· article· en· Society for Information Technology & Teacher Education International Conference· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Distance Learning
Brad Mehlenbacher, Ashley Rose Mehlenbacher
2019· book-chapter· en· Encyclopedia of Education and Information Technologies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Developing Learning Communities Online
Jo Axe, Hannah Dahlquist-Axe, Elizabeth Childs
2023· article· en· The Open/Technology in Education Society and Scholarship Association Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Microsoft Office as a Learning and Teaching Tool
Craig Place, Michael Shaw
2000· article· en· EdMedia: World Conference on Educational Media and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
To Group or Not to Group: A Question for Distance Learning
Olivia Anne Robertson, Vanessa Peters, Jim Hewitt
2006· article· en· EdMedia: World Conference on Educational Media and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Conferencing Tools and the Productivity Paradox
Theodorus Nibourg
2005· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Managing to Teach: A Virtual Learning Environment
Heather Stephens
2005· article· en· Society for Information Technology & Teacher Education International Conference· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Making the Computer Fit for School
Rosalía Guerrero Cantarell, Carmen Flury
2023· article· en· Historical Studies in Education / Revue d histoire de l éducation· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Cultivating Your Academic Online Presence
Shannon Lucky, Joseph E. Rubin
2017· article· en· Evidence Based Library and Information Practice· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
affno abstractunlabeled
E-Learning that Adapts to the Learner
Jutta Treviranus
2002· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Faculty Opinions recommendation of The truth wears off.
Sandra T. Davidge, Stephane L. Bourque
2012· dataset· en· Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations

How this was built: Screen · Findings · About