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
Banking stability, regulation, efficiency
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.

2,434 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.
2,434 works in the cohort · of 4,299,418page 39 of 49

Labels cover 1 of 2,434 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 2,434 of 2,434 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
Liquidity risk: supervisory models and best practices
Ida Claudia Panetta, Pasqualina Porretta
2009· article· en· Assay and Drug Development Technologies· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Does Bangladesh Need to be Established Derivatives Markets
Hasibul Islam, Masud Rana, Nayan Kumar Sarker, Md. Abu Bakor Siddique
2020· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
FINANCIAL SAFETY NETS
Julien Bengui, Javier Bianchi, Louphou Coulibaly
2016· preprint· en· International Economic Review· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Scarce Collateral and Bank Reserves
Miquel Faig, Gregory Gagnon
2003· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Long-term Debt and Hidden Borrowing
Heski Bar‐Isaac, Vicente Cuñat
2005· preprint· en· The Faculty Digital Archive (New York University)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Mutual Funds
Ali Ekber Cinar
2025· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Fourth District Bank Holding Companies
Joseph G. Haubrich, Saeed Zaman
2007· article· en· Economic Trends· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Design Rules for Resilient Banking Systems
W. Travis Selmier
2016· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
January 2023 Bank Lending Survey in Spain
Álvaro Menéndez Pujadas, Maristela Mulino
2023· article· en· Economic Bulletin· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Nearing the bottom, or digging a deeper hole?
Kevin L. Kliesen
2009· article· en· The Regional Economist· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Preventing Bank Runs
David Andolfatto, Ed Nosal, Bruno Sultanum
2014· preprint· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Asset Encumbrance, Bank Funding and Fragility
Toni Ahnert, Kartik Anand, Prasanna Gai, James Chapman
2017· article· en· Econstor (Econstor)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About