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
The Explicator
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.

35 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.
35 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 35 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 35 of 35 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
Barrie's Peter Pan
Heather Springer
2007· article· en· The Explicator· Arts and Humanities
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Wallace's INFINITE JEST
Timothy Jacobs
2000· article· pl· The Explicator· Arts and Humanities
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Kuchi, Cline, and Capitalism
Tom Ue, James Munday
2019· article· en· The Explicator· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Service's the Shooting of Dan McGrew
Neville F. Newman
2003· article· en· The Explicator· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Ironies in Truman Capote's MR. JONES
Thomas Dilworth
2012· article· en· The Explicator· Arts and Humanities
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Gallant's The Remission
Francis Zichy
2006· article· en· The Explicator· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Dickens's Oliver Twist
Corey Evan Thompson
2003· article· en· The Explicator· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Robert Frost's DESIGN
Michael Tavel Clarke
2014· article· en· The Explicator· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Hopkins's the Times are Nightfall
Neville F. Newman
2001· article· en· The Explicator· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Hardy's Jude the Obscure
Michelle Faubert
2002· article· en· The Explicator· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Shakespeare's Hamlet
David M. Smith
2001· article· en· The Explicator· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Melville's Cock-A-Doodle-Doo!
Corey Evan Thompson
2004· article· en· The Explicator· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About