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
Asian American and Pacific Histories
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.

897 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.
897 works in the cohort · of 4,299,418page 11 of 18

Labels cover 3 of 897 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 897 of 897 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
Honoring the Ancestors and Creator
Ruthann Lee
2024· article· en· Meridians· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Colonial Archive
Neil ten Kortenaar
2025· book-chapter· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Etchings of the Exiled
Jan A. Wozniak
2025· article· en· Ought The Journal of Autistic Culture· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Onwards to the Pacific Shore
2023· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
10. This Time of Fires
Matt Hern, Am Johal
2024· book-chapter· en· Neue Ökologie· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
ORÍKÌ FOR WESTSIDE GIRLS
2020· book-chapter· Semiotics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
—THE EVENTUALITIES COME—
2020· book-chapter· Semiotics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Call Me Human
Joseph Baumstarck
2023· article· Educational Media Reviews Online· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Safe Haven
Michael Pasqualoni
2023· article· Educational Media Reviews Online· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Continuous Pasts: Memory, History, Literature
Chigbo Arthur Anyaduba
2024· article· en· The Cambridge Journal of Postcolonial Literary Inquiry· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Chinese and Americans: A Shared History.
Madeline Y. Hsu, Akira Iriye
2016· article· en· Pacific Affairs· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Voices of the Silenced
Jooyeon Rhee
2025· article· en· Pacific Affairs· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About