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
Topic
Online and Blended Learning
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.

3,545 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.
3,545 works in the cohort · of 4,299,418page 44 of 71

Labels cover 14 of 3,545 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 3,545 of 3,545 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.

affunlabeled
Media Usage Behaviors of Learners in ODDE
Ji Yae Bong, Zhichun Liu
2022· book-chapter· en· Handbook of Open, Distance and Digital Education· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
INSPIRED BY THE UNEXPECTED - SERENDIPITOUS LEARNING
Luminiţa Giurgiu, Ghiţă Bârsan, Dănuț Moşteanu
2013· article· en· eLearning and Software for Education· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Blended online learning design: Shaken not stirred
Norm Vaughn, Michael Power
2010· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Enriching the Web of Data with Educational Information Using We-Share
Adolfo Ruiz‐Calleja, Juan I. Asensio‐Pérez, Guillermo Vega‐Gorgojo, Eduardo Gómez‐Sánchez, Miguel L. Bote‐Lorenzo, Carlos Alario‐Hoyos
2017· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A Blended Approach to Teacher Education
Norman Vaughan
2016· book-chapter· en· Advances in higher education and professional development book series· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Herding Cats
Donald N. Philip
2010· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Emotional Presence in Online Learning
Esra Telli, Fırat Sarsar, Martha Cleveland‐Innes
2021· book-chapter· en· Advances in mobile and distance learning book series· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Private Interactions in Online Discussions
Lesley Wilton, Rubaina Khan, Clare Brett, Paul C. Alexander
2020· book-chapter· en· Advances in educational technologies and instructional design book series· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Liens entre le modèle CBAM et l’approche d’enseignement dans le contexte de l’adoption d’une classe d’apprentissage actif par des enseignants au postsecondaire | Relationships between the CBAM Model and the Approach to Teaching Inventory in the Adoption of the Active Learning Classrooms by Postsecondary Teachers
Samuel Fournier St-Laurent, Bruno Poëllhuber, Madona Moukhachen
2017· article· en· Canadian Journal of Learning and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
e-Learning through Experiential Learning Projects
Kalyani Premkumar, Cyril Coupal
2009· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
What Scaffolds Good Technology Teaching and Learning?
Christina Belcher, Adrienne Pebesma
2022· article· en· International Christian Community of Teacher Educators Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About