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
Electoral Systems and Political Participation
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.

1,890 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.
1,890 works in the cohort · of 4,299,418page 33 of 38

Labels cover 4 of 1,890 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 1,890 of 1,890 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
Controls on the Public Purse
Jack Pinkowski
2003· article· en· International Journal of Public Administration· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
posterior_anes_2000.rds
Gregory Eady, Peter John Loewen
2020· dataset· es· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
What's left of the Italian left
JL Newell
2009· article· en· University of Salford Institutional Repository (University of Salford)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Conclusions
Rosa Mulé
2001· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Note from the Editors
Emma R. Norman, David Mena Alemán
2022· article· en· Politics &amp Policy· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Book reviews
Matti Wiberg, Judith A. McKenzie, John C. Berg, Edward Page, Robin Kolodny, Sue Vandenbosch +3 more
2000· article· en· Journal of Legislative Studies· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
The Canada economic action plan as electoral tool
Vincent Chandler
2011· article· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
A Mixed‑Utility Theory of Vote Choice Regret
Damien Bol, André Blais, Jean‐François Laslier
2018· preprint· en· RePEc: Research Papers in Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Decentralization and electoral swings
Ignacio Lago, André Blais
2018· preprint· en· Digital Archive @ GSU· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
posterior_anes_1992.rds
Gregory Eady, Peter John Loewen
2020· dataset· es· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
DiscreteStateDynamics.m
2023· dataset· en· UNB Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Legislators Reject Half-Loaf Compromises
Sarah E. Anderson, Daniel M. Butler, Laurel Harbridge‐Yong
2020· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The Runner-Up Effect
Santosh Anagol, Thomas Fujiwara
2016· preprint· en· Journal of Political Economy· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Modeling parliamentary debate
Sven‐Oliver Proksch, Jonathan Slapin
2014· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About