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
Insurance and Financial Risk Management
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.

1,318 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.
1,318 works in the cohort · of 4,299,418page 25 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.

aboutno affunlabeled
Debenture/Bond/Debt Market in Canada
Yuvraj Singh Purohit
2013· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
A Legal Analysis of Financial Leasing
Lei Wang
2011· article· en· Cross-cultural communication· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Financial Management of Insurance Companies
I. Lytvynchuk, Світлана Михайлівна Дячек, Віта Валентинівна Довгалюк, Nataliia Vygovska, Mariia Aleksandrova
2022· article· en· Review of Economics and Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Preparing for Shortened Settlement Cycles Beyond T+2
Steven Halliwell, Michael Martinen, Julia Simmons
2016· article· en· Journal of financial transformation· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Dependence models in risk theory
Mathieu Bargès
2010· dissertation· fr· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Allstate Corp. (The)
2004· article· en· Mergent s Dividend Achievers· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Fidelity National Financial, Inc.
2005· article· en· Mergent s Dividend Achievers· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Factors about the Corporate Bond Return
Yi Chen
2024· article· en· Advances in Economics and Management Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Economy Bounces Back from Hurricanes
Kevin L. Kliesen
2017· article· en· The Regional Economist· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
H & R Real Estate Investment Trust
2006· article· en· Mergent s Dividend Achievers· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About