MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Hate Speech and Cyberbullying Detection
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.

719 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.
719 works in the cohort · of 4,299,418page 13 of 15

Labels cover 2 of 719 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 719 of 719 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 affno abstractunlabeled
2 The Rise of Online Voting in Ontario
2024· book-chapter· en· McGill-Queen's University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Euphemism and Gender: A Computational Inquiry.
Anna Kapron-King, Yang Xu
2020· article· en· eScholarship (California Digital Library)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
The Rise of Online Voting in Ontario
2024· book-chapter· en· McGill-Queen's University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Toxic Language and Threat Detection in Social Media
Nafiseh Jabbari Tofighi, Hessam Kaveh, Kashfia Sailunaz, Abdallah M. ElSheikh, Ziad Elgammal, Said AbuShaar +2 more
2025· article· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Frontmatter
Emmett Macfarlane
2021· book-chapter· en· University of Toronto Press eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
One Night of Pleasure or Risk
Kelsey Friesen
2018· article· en· MacEwan University Student Research Proceedings· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The Presumption of Non-Credibility
Danica Sara Nardi-Lamadeleine
2025· dissertation· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.2307/3504637
2000· article· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
← previousnext →

How this was built: Screen · Findings · About