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
Social Media and Politics
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.

2,257 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.
2,257 works in the cohort · of 4,299,418page 37 of 46

Labels cover 12 of 2,257 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 2,257 of 2,257 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
A #pkp5 Twitter Archive
Priego Ernesto
2015· dataset· en· Figshare· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Practicing Media - Mediating Practice (special issue)
Christian Pentzold, Kenzie Burchell, Olivier Driessens, Alice Mattoni
2020· book· en· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Canadian Information Ecosystem
2023· book· en· Figshare· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
venueno affunlabeled
Big Tech and the Right to Freedom of Thought
Brittany Morison
2020· article· en· The iJournal Student Journal of the Faculty of Information· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Fighting for Women, Life, Freedom Across Borders
Mayson Dowdeswell
2023· article· en· Crossing Borders Student Reflections on Global Social Issues· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
E-Moderation in Public Discussion Forums
Lyn Carson
2008· book-chapter· en· Electronic Government· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Deploying the Affordances of Social Media
Amy Zidulka
2024· article· en· Proceedings of the International Conference on Networked Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Regulating Digital Campaigning
Netina Tan
2025· book-chapter· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Information Seeking Behaviour of Voters
2025· article· en· Emerging Library & Information Perspectives· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Da “movimentação” ao mandato
Flávia de Paula Duque Brasil, Fernando Resende Anelli, Rodolfo Pinhón Bechtlufft
2021· article· pt· Cadernos Gestão Pública e Cidadania· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About