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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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International journal of e-learning & distance 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.

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.

224 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.
224 works in the cohort · of 4,299,418page 2 of 5

Labels cover 1 of 224 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 224 of 224 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.

venueno affno abstractunlabeled
Distance Education Futures
Rory McGreal
2008· article· en· International journal of e-learning & distance education· Social Sciences
machine prediction:candidate · noneconsensus · none
17
citations
affvenueno abstractunlabeled
Distance Learning in Higher Education
Bettina Brockerhoff-Macdonald
2009· article· en· International journal of e-learning & distance education· Social Sciences
machine prediction:candidate · noneconsensus · none
15
citations
affvenueunlabeled
Social Media and Health Education: What the Early Literature Says.
Robyn Gorham, Lorraine Carter, Behdin Nowrouzi‐Kia, Natalie V. McLean, Melissa Guimond
2012· article· en· International journal of e-learning & distance education· Social Sciences
machine prediction:candidate · noneconsensus · none
13
citations
affvenueunlabeled
Blockchain and Micro-credentials in Education
Rory McGreal
2023· article· en· International journal of e-learning & distance education· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affvenueno abstractunlabeled
The Management of Distance Learning Systems
Ross Paul
2008· article· en· International journal of e-learning & distance education· Social Sciences
machine prediction:candidate · noneconsensus · none
9
citations
venueaboutno affno abstractunlabeled
Multiple Perspectives on Digital Literacies Research Methods in Canada.
Michelle Schira Hagerman, Pamela Beach, Megan Cotnam-Kappel, Cristyne Hébert
2020· article· en· International journal of e-learning & distance education· Arts and Humanities
machine prediction:candidate · metaresearchconsensus · none
7
citations
venueno affno abstractunlabeled
Limitations of the Community of Inquiry Framework.
David Annand
2019· article· en· International journal of e-learning & distance education· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
6
citations
venueno affno abstractunlabeled
Technology Used to Support Learning in Groups.
Barbara Brown, Christy Thomas
2020· article· en· International journal of e-learning & distance education· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About