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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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Insurance and Financial Risk Management
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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
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,318 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.
1,318 works in the cohort · of 4,299,418page 23 of 27

Labels cover 1 of 1,318 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 1,318 of 1,318 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.

affno abstractunlabeled
Corporate Pensions and Financial Distress
Ying Duan, Pouyan Foroughi, Edith Hotchkiss, Yawen Jiao
2019· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Impact of Saving on Financial Resilience
Chuck Grace, Adam Metzler, Miao Yang, Longlong Feng, Alireza Fazelli
2024· article· en· Financial Services Review· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
How Gamblers and Risk-Takers Correct the Future
Reuven Brenner, Gabrielle A. Brenner
2008· book-chapter· en· Cambridge University Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Risking-sharing Efficiency of Hedging Strategies
G. Cornelis van Kooten, Changhao Guo, Baojing Sun
2015· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Economic Capital for Bond Insurers
Luc Grégoire, Van Son Lai, Issouf Soumaré
2010· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Law invariance and Order
Niushan Gao
2021· preprint· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
SEI Investments Co.
2007· article· en· Mergent s Dividend Achievers· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Determinants of No-Fault Insurance Measures
Rose Anne Devlin
2003· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Optimal Reinsurance with Expectile
Jun Cai, Chengguo Weng
2014· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
What Do Financial Conditions Tell Us about Risks to GDP Growth?
Patrick Adams, Tobias Adrian, Nina Boyarchenko, Domenico Giannone, J. Nellie Liang, Eric Qian
2020· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

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