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 51 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.

aboutno affunlabeled
Fiscal policy and US-Canadian trade
Gianluca Laganà, Pasquale M. Sgrò
2011· article· en· Economics bulletin· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractgpt · no categoryopus · no categorymodels agree
Modeling long cycles
Da Natasha Kang, Vadim Marmer
2024· article· en· Journal of Econometrics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
How do Canadian Hours Worked Respond to a Technology Shock?
Lawrence J. Christiano, Martin Eichenbaum, Robert J. Vigfusson
2003· article· en· International Finance Discussion Paper· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Nominal Stability and Financial Globalization
Michael B. Devereux, Özge Senay, Alan Sutherland
2012· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
The Timing of Monetary Policy Shocks
Giovanni P. Olivei, Silvana Tenreyro
2007· preprint· en· American Economic Review· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Identifying the Shocks Driving Inflation in China
Pierre L. Siklos, Yang Zhang
2007· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Measuring Cross Country Monetary Policy Uncertainty
Lucas F. Husted, John H. Rogers, Bo Sun
2016· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About