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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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Corporate Finance and Governance
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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.

4,634 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
4,634 works in the cohort · of 4,299,418page 52 of 93

Labels cover 2 of 4,634 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 4,634 of 4,634 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.

fundno affno abstractunlabeled
Local gender imbalance and corporate risk-taking
Zhanhui Chen, Xiaoran Huang, Lei Zhang
2022· article· en· Journal of Economic Behavior & Organization· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Managerial Style – A Literature Review and Research Agenda
Kerstin Lopatta, Sebastian A. Tideman, Katarina Böttcher, Timm Wichern
2019· review· en· International Business Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Direct and Vicarious Learning and Firm Performance
Albena Ivanova, Marcel C. Minutolo, Alfred C. Marcus
2016· article· en· Journal of Behavioral and Applied Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Managerial Ability and Extreme Investment Behavior
Hsin-yi Hsieh, Xuerong Huang
2019· article· en· Accounting and Finance Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Performance of Firm and Board Attributes Nexus: Using Hausman Test Analysis
Adegbola Olubukola Otekunrin, T. I. Nwanji, Damilola Gabriel Fagboro, Johnson Kolawole Olowookere, Stella Ibitoye
2021· article· en· International Journal of Financial Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
A comparison of direct listings and<scp>IPOs</scp>
Anna Bergman Brown, Donal Byard, Jangwon Suh
2024· article· en· Contemporary Accounting Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
The Reasons and Evaluations of Mergers and Acquisitions
Bader Almazur, Augustine C. Arize, Giuliana Campanelli Andreopoulos, John Malindretos, Alex Panayides
2018· article· en· Accounting and Finance Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Hard Lessons in Corporate Governance
Bryce C. Tingle
2024· book· en· Cambridge University Press eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About