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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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Teaching and Learning Programming
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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
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 ·
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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.
980 works in the cohort · of 4,299,418page 3 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.

affunlabeled
Striving for mathematical thinking
Peter Henderson, Doug Baldwin, Venu Dasigi, Marcel Dupras, Jane M. Fritz, David Ginat +7 more
2001· article· en· ACM SIGCSE Bulletin· Computer Science
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Creativity in CS1: A Literature Review
Sadia Sharmin
2021· review· en· ACM Transactions on Computing Education· Computer Science
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
CS girls rock
Sandy Graham, Celine Latulipe
2003· article· en· ACM SIGCSE Bulletin· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
25
citations
affaboutunlabeled
Curing recursion aversion
Katherine Gunion, Todd Milford, Ulrike Stege
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Visual Programming Languages
Philip T. Cox
2008· other· en· Wiley Encyclopedia of Computer Science and Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Self-paced Mastery Learning CS1
Jennifer Campbell, Andrew Petersen, J. J. B. Smith
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Student Misconceptions of Dynamic Programming
Shamama Zehra, Aishwarya Ramanathan, Larry Yueli Zhang, Daniel Zingaro
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Noticing and Naming Computational Thinking During Play
Donna Kotsopoulos, Lisa Floyd, Brandon Dickson, Vivian Nelson, Samantha Makosz
2021· article· en· Early Childhood Education Journal· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Student difficulties with pointer concepts in C
Michelle Craig, Andrew Petersen
2016· article· en· Proceedings of the Australasian Computer Science Week Multiconference· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affaboutunlabeled
Crossroads for Canadian CS enrollment
Jacob Slonim, Sam Scully, Michael McAllister
2008· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Tracing vs. Writing Code
Brian Harrington, Nick Cheng
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
fundno affunlabeled
Becoming experts
Brian Dorn, Allison Elliott Tew
2013· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
MATLAB as an introductory programming language
Michael A. Wirth, Peter Kovesi
2006· article· en· Computer Applications in Engineering Education· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations

How this was built: Screen · Findings · About