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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
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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.

1,490 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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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 29 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.

afffundvenueunlabeled
Editorial: Volume 13, Number 2
Terry Anderson
2012· editorial· en· The International Review of Research in Open and Distributed Learning· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
IRRODL Volume 15, Number 6
Varios Authors
2014· article· en· The International Review of Research in Open and Distributed Learning· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Editorial Volume 12, No. 2
Terry Anderson
2011· article· en· The International Review of Research in Open and Distributed Learning· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Internet Audio Products
Duane Weaver, Deborah Guspie, Jon Baggaley
2002· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueno abstractunlabeled
Editorial - Volume 24, Issue 1
Constance Blomgren
2023· editorial· en· The International Review of Research in Open and Distributed Learning· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Editorial - Volume 25, Issue 4
Constance Blomgren
2024· editorial· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
CanCore in Canada and Around the World
Norm Friesen
2005· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
0
citations
affvenueno abstractunlabeled
Editorial - Volume 24, Issue 2
Rory McGreal
2023· editorial· en· The International Review of Research in Open and Distributed Learning· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Editorial: Volume 14, Number 4
Dianne Conrad
2013· editorial· en· The International Review of Research in Open and Distributed Learning· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
IRRODL Volume 12, Number 2
Various Authors
2011· article· en· The International Review of Research in Open and Distributed Learning· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Welcome to IRRODL's Book Review Editor
Terry Anderson
2009· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Editorial - Volume 18, Issue 5
Rory McGreal
2017· editorial· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Editorial: Volume 14, Number 3
Terry Anderson
2013· editorial· en· The International Review of Research in Open and Distributed Learning· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueno abstractunlabeled
Content Analysis of Online Asynchronous Discussions
Elizabeth Murphy
2005· article· en· The International Review of Research in Open and Distributed Learning· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Editorial - Volume 26, Issue 1
Terry Anderson
2025· editorial· en· The International Review of Research in Open and Distributed Learning· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Editorial - Volume 25, Issue 2
Dietmar Kennepohl
2024· editorial· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Editorial - Volume 19, Issue 5
Dianne Conrad
2018· editorial· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Editorial - Volume 24, Issue 4
Constance Blomgren
2023· editorial· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Chat and Instant Messaging Systems (synchronous): Report 2/3
Ellen Kinsel, Merv Roy, Harley Waldman, Donna Woloschuk, Patrick J. Fahy
2002· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

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