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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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Educational Games and Gamification
Retraction
Abstract
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Study design
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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.

1,648 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.
1,648 works in the cohort · of 4,299,418page 26 of 33

Labels cover 5 of 1,648 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 1,648 of 1,648 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
Motivation, Learning, and Game Design
Mahboubeh Asgari, David Kaufman
2011· book-chapter· en· IGI Global eBooks· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Information Literacy Through Digital Games
Jerremie Clyde, C Thomas
2008· article· en· Partnership The Canadian Journal of Library and Information Practice and Research· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1145/3772318.3809008
AI Generated
2000· article· en· Time to knit· Psychology
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Digital Games and Student Learning
Lorraine Beaudin, Tessa Sivak
2017· article· en· Society for Information Technology & Teacher Education International Conference· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
How I learned to write an Op-Ed
Sabrina Eliason
2021· article· en· Canadian Family Physician· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Search Based on Human Behaviors
Ke-Lin Du, M. N. S. Swamy
2016· book-chapter· en· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Gamifying Cybersecurity Education
María del Rocío Ramírez Jiménez, Elba A. Morales-Vanegas, Miguel A. Garcia-Ruiz, Pedro Damián Reyes, Pedro C. Santana‐Mancilla
2025· book-chapter· ng· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Light strings
Seo Jinsil, Greg Corness
2012· article· en· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Hoop cars coming!
Hilary White
2016· article· en· Practical Pre-School· Psychology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About