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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.

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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.

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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 37 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.

aboutno affunlabeled
Introduction to #WomenTechLit
Maria Mencía
2017· book-chapter· en· Research Repository (Kingston University London)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
The Computer as a Queer Object
Jess Tran, Elizabeth Patitsas
2020· preprint· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Aspects of High-Rated Games.
Gabriel C. Ullmann, Cristiano Politowski, Fábio Petrillo, Yann‐Gaël Guéhéneuc
2021· preprint· en· arXiv (Cornell University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
From hard to hardest in a game count
Rachel DeMotts
2012· article· en· Sound Ideas (University of Puget Sound)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
[no title]
Ruddick
2019· article· Science Fiction Studies· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
The document is dead
Mark S. Baker, Carol Miksik
2002· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Book review: Stretching Video Games
Pierre Corbeil
2012· article· en· Simulation & Gaming· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
CHI PLAY 2014: the bellman
Daniel Harley, Richard Lachman
2014· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A Possible Worlds Mod for Game Studies
Z. N. Dylan Jackson
2025· article· en· Open Collections· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
TopVictorianAuthors.tab
Karen Bourrier, Mike Thelwall
2020· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Video game studies
Lars Konzack, Mark J. P. Wolf
2012· article· en· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About