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 68 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.

aboutno affunlabeled
Contexts effects-based learning
Lamprini Chartofylaka
2022· preprint· en· theses.fr (ABES)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundvenueno affunlabeled
Commentary: Are You Experienced?
William F. Pinar
2014· article· en· LEARNing Landscapes· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
eMedical Teacher
Rachel Ellaway
2009· article· en· Medical Teacher· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
eMedical Teacher
Rachel Ellaway, David Topps
2010· article· en· Medical Teacher· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
eMedical Teacher
Rachel Ellaway
2010· article· en· Medical Teacher· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
A Pan-Canadian Challenge
2007· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Editorial
Martha Cleveland‐Innes
2023· editorial· en· Canadian Journal of Learning and Technology· Social Sciences
machine prediction:candidate · noneconsensus · 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
aboutno affunlabeled
commentary
Julie Davies, Nigel Pigott
2004· article· en· Perspectives Policy and Practice in Higher Education· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Editorial
Alec Couros
2010· editorial· en· in education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
10.18162/ritpu.2011.200
William Menvielle
2016· dataset· fr· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Traité de la e-Formation des adultes
Louise Sauvé
2019· book-chapter· fr· Pédagogies en développement. Problématiques et recherches· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Faculty Opinions recommendation of Goodbye, Columbus.
Luke J. Janssen
2012· dataset· en· Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature· Social Sciences
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Teacher-Librarian Preparation Programs' Curriculum
Jennifer Branch, Lesley S. J. Farmer
2021· article· en· IASL Annual Conference Proceedings· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
fundno affno abstractunlabeled
Online studying and restudying text versus video.
Brooke A. MacLeod, Laura J. Bianchi, Colin M. MacLeod
2024· article· en· Scholarship of Teaching and Learning in Psychology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Psychological Experiments Online
Linda Graburn
2015· article· en· Reference Reviews· Social Sciences
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
A Great Wall of Difference
Susan Crichton
2011· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The call tracking system
Gary Doucette, Ginger LeBlanc
2002· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About