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
Teaching and Learning Programming
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.

980 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.
980 works in the cohort · of 4,299,418page 5 of 20

Labels cover 2 of 980 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 980 of 980 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
Status update
Lawrence Snyder
2012· article· en· ACM Inroads· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
12
citations
affunlabeled
Answering the Correct Question
Michelle Craig, Andrew Petersen, Jennifer Campbell
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
afffundunlabeled
Gr8 designs for Gr8 girls
Michelle Craig, Diane Horton
2009· article· en· ACM SIGCSE Bulletin· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Computing is not a rock band
Faith‐Michael E. Uzoka, Randy Connolly, Marc Schroeder, Namrata Khemka, Janet Miller
2013· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
fundno affunlabeled
Parameterized and automated assessment on an introductory programming course
Francisco de Assis Zampirolli, Paulo Henrique Pisani, João Marcelo Borovina Josko, Guiou Kobayashi, Francisco J. Fraga, Denise Goya +1 more
2020· article· en· Anais do XXXI Simpósio Brasileiro de Informática na Educação (SBIE 2020)· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Tiles that Talk
David Bouchard, Steve Daniels
2015· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Practice report
Jack Parkinson, Ryan Bockmon, Quintin Cutts, Michael Liut, Andrew Petersen, Sheryl Sorby
2021· article· en· ACM Inroads· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
10
citations
affno abstractunlabeled
Developing Technopedagogical Skills in Pre-service Teachers
Lorraine Beaudin, Corey Hadden
2004· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
Re-Making Teacher Professional Development
Janette Hughes, Laura Morrison, Laura Doboş
2018· article· en· Studies in health technology and informatics· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
QuickDraw
Ben Stephenson, Craig Schock
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About