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
Mount Royal Undergraduate Humanities Review (MRUHR)
Topic
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.

72 results · 1 filter active ·
Results by year
20132025
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.
72 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 72 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 72 of 72 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.

affvenueunlabeled
Front Matter
Heath Milo
2014· paratext· en· Mount Royal Undergraduate Humanities Review (MRUHR)· Physics and Astronomy
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
History and Humor
Amy Hinz
2024· article· en· Mount Royal Undergraduate Humanities Review (MRUHR)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
The Trial of Grace Marks
Ashley J. Banbury
2013· article· en· Mount Royal Undergraduate Humanities Review (MRUHR)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
The Way of the Warrior in Interwar Japan
Jake Sawyer
2015· article· en· Mount Royal Undergraduate Humanities Review (MRUHR)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Lure of Jordan Peele’s Get Out!
Tia Myriani
2024· article· en· Mount Royal Undergraduate Humanities Review (MRUHR)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Front Matter
Kenny Reilly, Cameron J. Mitchell
2018· paratext· en· Mount Royal Undergraduate Humanities Review (MRUHR)· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
One Territory, Two Worlds
Luke Gardiner
2024· article· en· Mount Royal Undergraduate Humanities Review (MRUHR)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Influences of Racial Science in Hitler’s Europe
Ana Susnjar
2017· article· en· Mount Royal Undergraduate Humanities Review (MRUHR)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · stsconsensus · none
0
citations

How this was built: Screen · Findings · About