MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
The International Review of Research in Open and Distributed Learning
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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 ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
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 26 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.

affvenueunlabeled
Chat and Instant Messaging Systems
Jennifer Stein, Debbie Garber, Jon Baggaley
2002· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affvenueunlabeled
Text-based Conferencing: Features vs. functionality
Lynn Anderson, Kathy McCarthy
2006· article· en· The International Review of Research in Open and Distributed Learning· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
63. Mobile Learning in Developing Nations
Scott Motlik
2008· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affvenueno abstractunlabeled
Editorial – Volume 21, Issue 2
Dietmar Kennepohl
2020· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affvenueunlabeled
A Proposed e-Learning Policy Field for the Academy
Gale Parchoma
2007· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
afffundvenueaboutunlabeled
Examining Online Health Sciences Graduate Programs in Canada
Paige Colley, Karen Schouten, Nicole Chabot, M Downs, Lauren Anstey, Marc S. Moulin +1 more
2019· article· en· The International Review of Research in Open and Distributed Learning· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Editorial - Volume 23, Issue 1
Ting‐Chia Hsu, Hal Abelson, Natalie Lao
2022· editorial· en· The International Review of Research in Open and Distributed Learning· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Can Mobile Learning Enhance Nursing Practice Education?
Richard F. Kenny, Caroline Park
2009· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Quality Criteria for Online Courses Development
Maimoona H. Al Abri, Abdelrahman Elhaj
2025· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
The UNESCO OER Recommendation: Some Observations From the ICDE OER Advocacy Committee
Ebba Ossiannilsson, Rosa Leonor Ulloa Cazarez, Cristine Martins Gomes de Gusmão, Xiangyang Zhang, Constance Blomgren, Trish Chaplin-Cheyne +1 more
2023· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
2
citations
affvenueunlabeled
SLOAN: Social Learning Optimization Analysis of Networks
David John Lemay, Tenzin Doleck, Christopher G. Brinton
2022· article· en· The International Review of Research in Open and Distributed Learning· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Perceived Utility and Learning by Dominican University Students in Virtual Teaching–Learning Environments: An Analysis of Multiple Serial Mediation Based on the Extended Technology Acceptance Model
Clemente Rodríguez Sabiote, Ana Teresa Valerio-Peña, Roberto A. Batista-Almonte, Álvaro Manuel Úbeda-Sánchez
2024· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
Collaboration and Ethics in Distance Learning Design
Racquel Biem, Dirk Morrison
2023· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About