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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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Auditing, Earnings Management, 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
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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.

3,740 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.
3,740 works in the cohort · of 4,299,418page 30 of 75

Labels cover 11 of 3,740 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 3,740 of 3,740 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.

afffundunlabeled
A concise history of analytical accounting
Richard Mattessich
2017· article· es· De Computis - Revista Española de Historia de la Contabilidad· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
14
citations
venueno affunlabeled
Ex Post Settling Up in Cash Compensation: New Evidence
Ana M. Albuquerque, Bingyi Chen, Qi Dong, Edward J. Riedl
2019· article· en· Contemporary Accounting Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Who Benefits From IFRS Convergence in China?
Chao Chen, Edward Lee, Gerald J. Lobo, Jessie Y. Zhu
2017· article· en· Journal of Accounting Auditing & Finance· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Misrepresentation of financial statements
Cenap Ilter
2014· article· en· Journal of Financial Crime· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Measuring Accounting Asset Informativeness
Chen Qi, Katherine Schipper, Ning Zhang
2021· article· en· The Accounting Review· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Auditor monitoring and restatement dark period
Nourhene BenYoussef, Mohamed Drira
2019· article· en· International Journal of Accounting and Information Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Policy Uncertainty and Textual Disclosure
Liangliang Jiang, Jeffrey Pittman, Walid Saffar
2017· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
13
citations

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