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
Monetary Policy and Economic Impact
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.

3,739 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.
3,739 works in the cohort · of 4,299,418page 28 of 75

Labels cover 9 of 3,739 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 3,739 of 3,739 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
On the relevance of weaker instruments
Bertille Antoine, Éric Renault
2017· article· en· Econometric Reviews· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
fundno affunlabeled
EU Enlargement and the EMU
Leo Michelis, Minoas Koukouritakis
2007· article· en· Journal of Economic Integration· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Testing Purchasing Power Parity in the Long-Run
Ilona Shiller
2013· article· en· THE JOURNAL OF APPLIED BUSINESS AND ECONOMICS· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Predicting Inflation—A Holistic Approach
Kujtim Avdiu, Stephan Unger
2022· article· en· Journal of risk and financial management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
affaboutunlabeled
Mixed Frequency Forecasts for Chinese GDP
Philipp Maier
2021· preprint· en· Econstor (Econstor)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
A Threshold Model of the US Current Account
Roberto Duncan
2014· article· en· Federal Reserve Bank of Dallas, Globalization and Monetary Policy Institute Working Papers· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Non-linear adjustments to intranational PPP
Kai-Yin Woo, Shu-Kam Lee, Alan Chan
2014· article· en· Journal of Macroeconomics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
The Economics of Labor Adjustment: Mind the Gap
Russell Cooper, Jonathan Willis
2001· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About