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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 5 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
Teachers and technology: A reasonable blend
Andrew Kitchenham
2005· 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
Computer-mediated Workplace Literacy Project
Marc B. Glassman
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
Knowledge Culture and Teacher Preparation
Hanan Yaniv
2005· 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
Turkish Undergraduates Perceptions of Distance Education
Zehra Akyol, Hasan Karaaslan
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
Utilisation of an LMS in Teaching Practice
Kari Rasmussen
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
Advanced Broadband Enabled Learning (ABEL)
Karen Andrews, Janet Murphy
2003· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Description of a Hybrid Electronic Field Trip
Omolola A. Adedokun, Juli Bell, Jamie Loizzo, Wilella Burgess, J. Paul Robinson
2009· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Innovative teaching and learning strategies and approaches for 21stC
Madhumita Bhattacharya, Nada Mach, Mahnaz Moallem, SiewMee Barton
2011· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Best Practices - Making Learning Elements Truly Re-usable
Scott Wilson, Roger Mundell
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
Future trends and directions in Learning, Technology and Standards
Norm Friesen, Andrew Feenberg, Wayne Hodgins, Lassi Nirhamo
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
Pedagogies as Educational technologies
Jon Dron
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
Professors’ Mix of Open and Sharing Practices
George Veletsianos
2015· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Social Sciences
machine prediction:candidate · open_scienceconsensus · none
0
citations
affno abstractunlabeled
Learning through Weblogs
Claude Gagné, Deborah I. Fels
2007· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
What Competencies Does the Successful Online Learner Need
Ileana de la Teja
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
Interpersonal Relations in Online Education
Dorian Stoilescu
2005· 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
Empowering Learners - Changing the World
Justine Bizzocchi
2005· 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

How this was built: Screen · Findings · About