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
Digital Games and Media
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.

2,326 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.
2,326 works in the cohort · of 4,299,418page 27 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.

venueaboutno affunlabeled
Views and Reviews
2010· article· en· Canadian Theatre Review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Impacts of the Pandemic on the Gamer Industry
Missila Loures Cardozo
2024· article· en· OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Cybiko Computer
William Helmke
2025· article· en· Loading· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Pratiques de loisirs des joueurs de jeu vidéo
Eric mathieu Doucet, Francis Bourgoin, Marc Leblanc
2025· article· fr· Loisir et Société / Society and Leisure· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Maximum Ride: Angel by J. Patterson
Shanyce BCR
2016· article· en· The Deakin Review of Children s Literature· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
The well-read game: on playing thoughtfully
Samuel Poirier-Poulin
2025· article· en· Critical Studies in Media Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractgemma · no categorygpt · no categorymodels split
Digital Hermits
Jeanine Miklós‐Thal, Avi Goldfarb, Avery Haviv, Catherine E. Tucker
2023· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Image Macro Memes
2025· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Fantasy Diorama
cnseto
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Fantasy Diorama
cnseto
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Making a Riot in the Gaming Space
Angelene Vo
2023· article· en· Interactive Film and Media Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About