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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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The International Review of Research in Open and Distributed Learning
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Retraction
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,490 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.
1,490 works in the cohort · of 4,299,418page 12 of 30

Labels cover 4 of 1,490 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 1,490 of 1,490 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 affunlabeled
Why do University Teachers use E-Learning Systems?
Puong Koh Hii, Amran Rasli
2020· article· en· The International Review of Research in Open and Distributed Learning· Decision Sciences
machine prediction:candidate · noneconsensus · none
31
citations
venueno affunlabeled
Distance Learning for Teacher Training in Brazil
Alvana Maria Bof
2004· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
31
citations
venueno affunlabeled
Goal Orientation and Academic Performance in Adult Distance Education
Joyce Neroni, Celeste Meijs, Ruslan Leontjevas, Paul A. Kirschner, Renate H. M. de Groot
2018· article· en· The International Review of Research in Open and Distributed Learning· Psychology
machine prediction:candidate · noneconsensus · none
31
citations
venueno affunlabeled
Broadband: A Solution for Rural e-Learning?
Robin Mason, Frank Rennie
2004· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
31
citations
affvenueunlabeled
IRRODL Volume 5, Number 2
Various Authors
2004· article· en· The International Review of Research in Open and Distributed Learning· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
31
citations
affvenueno abstractunlabeled
E-tivities: The Key to Active Online Learning
Mohamed Ally
2003· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
30
citations
affvenueunlabeled
Appreciative Leadership: Supporting Education Innovation
Tracy Orr, Martha Cleveland‐Innes
2015· article· en· The International Review of Research in Open and Distributed Learning· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
30
citations
venueno affunlabeled
The Landscape of MOOC Platforms Worldwide
Maria Perifanou, Anastasios A. Economides
2022· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
29
citations
afffundvenueaboutunlabeled
Open Educational Resources in Canada 2015
Rory McGreal, Terry Anderson, Dianne Conrad
2015· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
29
citations

How this was built: Screen · Findings · About