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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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Contemporary Accounting Research
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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.

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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.

1,424 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.
1,424 works in the cohort · of 4,299,418page 2 of 29

Labels cover 5 of 1,424 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 1,424 of 1,424 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.

afffundvenueunlabeled
Analyst Report Readability
Gus De Franco, Ole‐Kristian Hope, Dushyantkumar Vyas, Yibin Zhou
2013· article· en· Contemporary Accounting Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
308
citations
venueno affunlabeled
Do Corporate Site Visits Impact Stock Prices?
Qiang Cheng, Fei Du, Brian Yutao Wang, Xin Wang
2018· article· en· Contemporary Accounting Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
289
citations
venueno affunlabeled
R&D Reporting Biases and Their Consequences*
Baruch Lev, Bharat Sarath, Theodore Sougiannis
2005· article· en· Contemporary Accounting Research· Business, Management and Accounting
machine prediction:candidate · metaresearchconsensus · none
288
citations
venueno affunlabeled
Common Institutional Ownership and Earnings Management*
Santhosh Ramalingegowda, Steven Utke, Yong Yu
2020· article· en· Contemporary Accounting Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
285
citations
venueno affunlabeled
Board Gender Diversity, Auditor Fees, and Auditor Choice
Karen Lai, Bin Srinidhi, Ferdinand A. Gul, Judy Tsui
2017· article· en· Contemporary Accounting Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
269
citations
venueno affunlabeled
Who Cares about Auditor Reputation?*
Jan Barton
2005· article· en· Contemporary Accounting Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
250
citations
venueno affunlabeled
PCAOB Inspections: Public Accounting Firms on “Trial”
Kimberly D. Westermann, Jeffrey P. Cohen, Greg Trompeter
2018· article· en· Contemporary Accounting Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
232
citations
venueno affno abstractunlabeled
Analyst Following and Credit Ratings*
Mei Cheng, K.R. Subramanyam
2008· article· en· Contemporary Accounting Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
225
citations
venueno affunlabeled
Nonaudit Services and Earnings Management: UK Evidence*
Michael J. Ferguson, Gim S. Seow, Danqing Young
2004· article· en· Contemporary Accounting Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
222
citations

How this was built: Screen · Findings · About