MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
The Review of Corporate Finance Studies
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.

17 results · 1 filter active ·
Results by year
20142025
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.
17 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 17 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 17 of 17 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Information: Hard and Soft
José María Liberti, Mitchell A. Petersen
2018· article· en· The Review of Corporate Finance Studies· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
705
citations
affunlabeled
Do Managers Do Good with Other People’s Money?
Ing-Haw Cheng, Harrison Hong, Kelly Shue
2023· article· en· The Review of Corporate Finance Studies· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
119
citations
affunlabeled
Managerial Attributes, Incentives, and Performance
Jeffrey L. Coles, Zhichuan Li
2020· article· en· The Review of Corporate Finance Studies· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
68
citations
affunlabeled
Corporate Innovation and Returns
Jan Bena, Lorenzo Garlappi
2019· article· en· The Review of Corporate Finance Studies· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Determinants of LGBTQ+ Corporate Policies
Tanja Artiga González, Paul Calluzzo, Georg D. Granic
2022· article· en· The Review of Corporate Finance Studies· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
12
citations
afffundunlabeled
Cross-Country Competitive Effects of Cross-Listings
Sergei Sarkissian, Yan Wang
2019· article· en· The Review of Corporate Finance Studies· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Understanding Bank Payouts during the Crisis of 2007–2009
Péter Cziráki, Christian Laux, Gyöngyi Lóránth
2022· preprint· en· The Review of Corporate Finance Studies· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affunlabeled
The Role of Pilot Studies in Financial Regulation
Larry Harris, Charles M. Kahn, Robert L. McDonald, Chester S. Spatt
2025· article· en· The Review of Corporate Finance Studies· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About