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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 36 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.

afffundaboutno abstractunlabeled
The effect of the US subprime crisis on Canadian banks
Satiprasad Bandyopadhyay, Ranjini Jha, Duane B. Kennedy
2016· article· en· Advances in Accounting· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Views on China’s Personal Derivatives
Wenjing Wu, Yan Wu
2010· article· en· Cross-cultural communication· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Bank runs and privately funded solutions
Nurlan Turdaliev, Yahong Zhang
2025· article· en· Journal of Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Survey of the Banking Literature
Joseph C. Paradi, Herbert Sherman, Fai Keung Tam
2017· book-chapter· en· International series in management science/operations research/International series in operations research & management science· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
An Empirical Evidence for Canada
2003· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
How Money Is Created in a Modern Economy
Max Rangeley, William White
2024· book-chapter· en· Professional practice in governance and public organizations· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Forgery Losses: Banks Beware!
Benjamin Geva
2016· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Recovery from Crises and Lending
B Kata, Zsolt Kovalszky, Emese Kreiszné Hudák
2014· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Home Capital Group - The High Cost of Dishonesty
Kareen Brown, Kevin Veenstra
2018· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

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