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
National Bureau of Economic Research
Topic
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.

2,073 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.
2,073 works in the cohort · of 4,299,418page 20 of 42

Labels cover 12 of 2,073 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 2,073 of 2,073 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.

afffundunlabeled
Disappearing Routine Jobs: Who, How, and Why?
Guido Matías Cortés, Nir Jaimovich, Henry Siu
2016· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Strike Three: Umpires' Demand for Discrimination
Christopher Parsons, Johan Sulaeman, Michael Yates, Daniel S. Hamermesh
2007· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
On the Macroeconomic Consequences of Over-Optimism
Paul Beaudry, Tim Willems
2018· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
aboutno affunlabeled
A Re-Examination of the Border Effect
Yuriy Gorodnichenko, Linda L. Tesar
2005· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Competitive Liberalization and a US-SACU FTA
John Whalley, J. Clark Leith
2003· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Trade, Unemployment, and Monetary Policy
Matteo Cacciatore, Fabio Ghironi
2020· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Lockdowns and Innovation: Evidence from the 1918 Flu Pandemic
Enrico Berkes, Olivier Deschênes, Ruben Gaetani, Jeffrey Lin, Christopher Severen
2020· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
afffundunlabeled
Endogenous Trade Protection and Exchange Rate Adjustment
Stéphane Auray, Michael Devereux, Aurélien Eyquem
2019· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Endogenous Gentrification and Housing Price Dynamics
Veronica Guerrieri, Daniel Hartley, Erik Hurst
2010· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
The Accident Externality from Trucking
Lucija Muehlenbachs, Stefan Staubli, Ziyan Chu
2017· report· en· National Bureau of Economic Research· Engineering
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Constrained-Efficient Capital Reallocation
Andrea Lanteri, Adriano A. Rampini
2021· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
affaboutunlabeled
Top Incomes in Canada: Evidence from the Census
Thomas Lemieux, W. Craig Riddell
2015· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
fundno affunlabeled
Religion and Innovation
Roland Bénabou, Davide Ticchi, Andrea Vindigni
2015· preprint· en· National Bureau of Economic Research· Social Sciences
machine prediction:candidate · noneconsensus · none
12
citations
fundno affunlabeled
The Productivity Advantage of Serial Entrepreneurs
Kathryn Shaw, Anders Sørensen
2017· report· en· National Bureau of Economic Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Uncertainty, Wages, and the Business Cycle
Matteo Cacciatore, Federico Ravenna
2020· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Does the NIH Fund Edge Science?
Mikko Packalén, Jay Bhattacharya
2018· preprint· en· National Bureau of Economic Research· Medicine
machine prediction:candidate · metaresearchconsensus · none
12
citations

How this was built: Screen · Findings · About