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
Economic Growth and Productivity
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.

1,622 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.
1,622 works in the cohort · of 4,299,418page 8 of 33

Labels cover 0 of 1,622 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 1,622 of 1,622 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.

fundno affunlabeled
Some Facts about Dominant Firms
Germán Gutiérrez, Thomas Philippon
2020· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations
aboutno affunlabeled
Econometrics
Dale W. Jorgenson
2002· book· en· The MIT Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
venueno affno abstractunlabeled
Bifurcation analysis of an endogenous growth model
William A. Barnett, Taniya Ghosh
2013· article· en· The Journal of Economic Asymmetries· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
The New Economics of Industrial Policy
Réka Juhász, Nathaniel Lane, Dani Rodrik
2023· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
11
citations
aboutno affunlabeled
Induced innovation: an empirical test
Isabelle Armanville, Peter Funk
2003· article· en· Applied Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
11
citations
aboutno affunlabeled
Has Trend Productivity Growth Increased in Canada?
Benoı̂t Robidoux, Bing-Sun Wong
2003· article· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
The Kindergarten Rule of Sustainable Growth
William A. Brock, M. Scott Taylor
2003· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
11
citations
aboutno affunlabeled
Industrial Policy for a Green Economy
Johannes Schwarzer
2013· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About