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
Spanish Literature and Culture Studies
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.

324 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.
324 works in the cohort · of 4,299,418page 5 of 7

Labels cover 1 of 324 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 324 of 324 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
Andalucía vista desde Quebec
Natalia Arregui
2014· article· es· Iris· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Ambles End in Tears
Paul Edward Dutton
2023· book-chapter· en· The New Middle Ages· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Verónica
2017· article· en· Journal of Religion & Film· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Los años de Leguía (1919–1930)
David Parker
2025· article· fr· Canadian Journal of Latin American and Caribbean Studies / Revue canadienne des études latino-américaines et caraïbes· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Genaro Estrada y España
Serge I. Zaïtzeff
2011· article· es· Literatura Mexicana· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
A Small Silver Lining
Michael Kaler, Jonathan Vroom
2024· article· en· Skrib.· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Beatrice
Luigi Scorrano
2007· article· it· Quaderni d italianistica· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Verónica
2017· article· en· Journal of Religion & Film· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
L’Espagne ou la corrida
Maria Delaperrière
2018· book-chapter· fr· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Generation of ‘27
Pablo Restrepo-Gautier
2018· book-chapter· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Flamenco and Modernism
Bridget Cauthery
2018· book-chapter· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affgemma · no categorygpt · no categorymodels split
La Transgresión en las Jarchas Romances
Rosa María Urbanos Garrido
2012· article· es· Boletín de la Real academia Sevillana de Buenas Letras: Minervae Baeticae· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About