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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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Digital Games and Media
Retraction
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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
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,326 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.
2,326 works in the cohort · of 4,299,418page 21 of 47

Labels cover 7 of 2,326 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 2,326 of 2,326 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
Handmade Tales: Stories to Make and Take
Gail de Vos
2008· article· en· Journal of Folklore Research Reviews· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Exploring Digital Lifeworlds
Catherine Adams, Lesley Gourlay
2024· article· en· Proceedings of the International Conference on Networked Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Examining authoring tools for serious games
Marty Kauhanen, Quang Tran Minh, Robert Biddle
2007· article· en· Open Research Online (The Open University)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Levelling (Up) the Playing Field
Sarmista Das
2014· book-chapter· en· Advances in social networking and online communities book series· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Acts of Becoming
Adam Tompkins
2022· article· en· Loading· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Young Scholars, and Old Debates
Emma Vossen
2025· book-chapter· en· Punctum Books· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
La mise au jeu mise en récit 
­Carl Therrien
2018· article· fr· Sciences du jeu· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Éditorial
Gilles Brougère, Bernard Perron
2013· article· fr· Sciences du jeu· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
New Narratives and Social Engagement
Hudson Moura, Heidi Rae Cooley
2022· article· en· Interactive Film and Media Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
A Positive Side of Violent Video Game Play
Shayla Batty
2021· article· en· USURJ University of Saskatchewan Undergraduate Research Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Livre et jeu vidéo
Fanny Barnabé, Björn‐Olav Dozo
2014· article· fr· Mémoires du livre· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Camgirl Manual
Jasmine Jade
2015· book· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations

How this was built: Screen · Findings · About