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
Fiscal Policy and Economic Growth
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.

2,315 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.
2,315 works in the cohort · of 4,299,418page 25 of 47

Labels cover 2 of 2,315 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 2,315 of 2,315 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.

affunlabeled
Top‐end salaries and the<scp>O</scp>ntario public sector
Vlad Dobrescu, Stefan Mirkovic, Shabnam Mohsenzadeh, Michael R. Veall
2014· article· en· Canadian Public Administration· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Letter Grading Government Efficiency
Alberto Chong, Florencio López‐de‐Silanes, Andrei Shleifer
2012· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
fundno affunlabeled
How to Establish a Tax Policy Unit
Martin Grote
2019· article· en· IMF How To Notes· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
ON EFFECTING INSTITUTIONAL CHANGE
Sumon Majumdar, Sharun Mukand
2009· book-chapter· en· Statistical science and interdisciplinary research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Impact Of Tariff On Income: Cross Country Analysis
Sidra Imran Amin, Ambreen Fatima
2019· article· en· JISR management and social sciences & economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
The Optimal Distribution of Population Across Cities
David Albouy, Kristian Behrens, Frédéric Robert‐Nicoud, Nathan Seegert
2016· article· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The Gains from Trade and Policy Reform Revisited
W. Erwin Diewert, Alan D. Woodland
2004· article· en· Review of International Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Voting Behavior, Preference Aggregation and Tax Design
Ikuho Kochi, Raúl Alberto Ponce Rodríguez
2011· article· en· International Journal of Economics and Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Roads and Innovation
Ajay Agrawal, Alberto Galasso, Alexander Oettl
2014· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About