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
Market Dynamics and Volatility
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.

2,530 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.
2,530 works in the cohort · of 4,299,418page 36 of 51

Labels cover 4 of 2,530 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 2,530 of 2,530 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
Commodity Currencies And Currency Commodities
Kenneth W. Clements, Renée Fry-McKibbin
2006· preprint· en· UWA Profiles and Research Repository (University of Western Australia)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Earnings Forecasts and Idiosyncratic Volatilities
Lawrence Kryzanowski, Sana Mohsni
2008· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Yelp Consumption Sentiment and Asset Pricing
Gady Jacoby, Chi Liao, Nanying Lin
2024· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Subjective/ Behavioural Factors Influence the PSI 20 and IBEX 35
Stefan Abrantes Costa, Pedro Manuel Nogueira Reis, António Pedro Soares Pinto
2020· article· en· International Journal of Financial Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Long Memory in Energy Futures Prices
John P. Elder, Apostolos Serletis
2006· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
The article has been withdrawn
2016· article· en· International Journal of Economics and Finance· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
Uncertainty Shocks as Second-Moment News Shocks
David Berger, Ian Dew-Becker, Stefano Giglio
2017· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The Impact of the Russo-Ukraine War on US Stock Return
Laijun Xu, Ruohan Zhao, Ancheng Wang, Jiayi Yan
2023· article· en· Advances in Economics Management and Political Sciences· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Do Global Uncertainty Factors Matter More to Cryptocurrency?
Minxing Wang, Rishabh Verma, Jinghua Wang, Geoffrey Ngene, Cheickna Sylla
2025· article· en· Journal of risk and financial management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About