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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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E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education
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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.

491 results · 1 filter active ·
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20022019
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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.
491 works in the cohort · of 4,299,418page 9 of 10

Labels cover 1 of 491 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 491 of 491 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.

affno abstractunlabeled
E-Learning at Riverview Health Centre
Helena M. Wall
2006· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Enhancing the Learning Experience with 3D Learning Objects
Michelle Kearns, Vienna Ly
2011· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
'Moving Online': Faculty Development
Natasja Saranchuk, Heather Kanuka
2011· 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
Computerized Adaptive Testing for Intelligent Tutoring Systems
Janet Noye, Jane M. Fritz
2003· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Facilitating Access: Introductory Biology Classes Online
David G. Patriquin, Colleen Adl, Jennifer Van Dommelen, Carol E. O’Neil, Bill Freedman
2005· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
POLO Anyone? Changing the Rules of the Game
Lynn Fujino, Raquel Collins
2011· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Designing and Implementing a Clinical Practice ePortfolio System.
Angela J Busch, Arlis M. McQuarrie, Vanina Dal Bello-Haa Dal Bello-Haa, Kalyani Premkumar, Ivy Tan
2009· 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
Blending community and authentic assessment in a hybrid course
Maggie Lattuca, Jean-Claude Provost, Adam Finkelstein
2007· 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
Ecologies for Open Learning: TOOLS at the University of Windsor
Christine Smith, Alan Wright
2012· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
machine prediction:candidate · open_scienceconsensus · none
0
citations
affno abstractunlabeled
Applications of Decision Support Technologies on Learning
Lucila Pérez, Michel Plaisent, Prosper Bernard, Lassana Maguiraga
2004· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Web Presence in K-12 Education
Valerie Irvine, Dallas Hermanson
2010· 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
Teaching with Digital Technologies: A Case Study Using TPACK
Pamela Phillips, Roberta F. Hammett, Lisa St. Croix, Gerry White
2012· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Autonomous Student Modelling in Learning Management Systems
David Brokenshire, Vive Kumar
2003· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Designing for Persistence from the Margins
Kathy Snow
2013· 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
Breaking the unbreakable: addressing the need for cryptanalysis
William J. Hunter
2002· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
Ontario Clinical Education Information Systems
Haig Baronikian, Audrey Danaher
2007· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
The Architect of Learning
Nancy Stuewe
2013· 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
affaboutno abstractunlabeled
Learning with 3D Content- Teaching with Inuit Artefacts
Denis Gadbois
2003· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About