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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.

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Banking stability, regulation, efficiency
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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 ·
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20002025
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Machine labels · sparse coverage
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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 28 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.

affaboutunlabeled
E-banking and consumer debt
Stanko Dimitrov, Brian Paul Cozzarin
2021· article· en· International Journal of Electronic Banking· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Lead bank quality and adverse rating announcements
Wei‐Huei Hsu, Abdullah Al Mamun, Lawrence C. Rose
2010· article· en· Studies in Economics and Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Inflation Risk and the Finance-Growth Nexus
Alexandre Corhay, Jincheng Tong
2025· article· en· The Review of Economic Studies· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Impact of Regulation on Financial Services Providers
Ketharaman Swaminathan
2012· article· en· The Journal of Internet Banking and Commerce· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
The 4 C's of Core Banking
Erik Bogaerts
2011· article· en· The Journal of Internet Banking and Commerce· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
The (Un)Demand for Money in Canada
2021· article· en· Econstor (Econstor)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Risk-Taking Behavior of Privatized Banks
Isaac Otchere, Sana Mohsni
2014· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
A Banker's Perspective on the Financial Crisis
Robert Amzallag, Michel Magnan, Bryan Campbell
2009· preprint· en· Érudit documents and data repository (Érudit Consortium, University of Montreal)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About