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
Contemporary Sociological Theory and Practice
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.

675 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.
675 works in the cohort · of 4,299,418page 8 of 14

Labels cover 5 of 675 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 675 of 675 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
A SOCIAL ROLES ASSESSMENT
2014· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Epilogue – Peter Nils Grabosky
Roderic Broadhurst
2018· book· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Establishing Connections
Sam Frankel, Daniella Bendo
2024· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Pacific Sociological
2002· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
The Centrality of Sociality
2022· book· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Browning Beyond Debate
Cole Reilly, Zahra Murad
2012· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Social Relationships
Reda Alhajj, Jon Rokne
2014· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Changes of Social Groups
Professor Reda Alhajj, Professor Jon Rokne
2014· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Changes of Social Groups
2018· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Community: Module, Cluster, Group
Professor Reda Alhajj, Professor Jon Rokne
2014· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Social Relationships
2018· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Legacies of Theory: Introduction
Mássimo Verdicchio
2011· article· en· Canadian review of comparative literature· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About