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
Ethics and Social Impacts of AI
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.

1,449 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.
1,449 works in the cohort · of 4,299,418page 10 of 29

Labels cover 12 of 1,449 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 1,449 of 1,449 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affaboutunlabeled
Why data about people are so hard to govern
Wendy Wong, Jamie Duncan, David A. Lake
2024· article· en· Regulation & Governance· Social Sciences
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
A Human-Centered Approach to AI Governance
Karine Gentelet, Sarit K. Mizrahi
2024· book-chapter· it· Social Sciences
distilled prediction:candidate · metaepi_narrow+scholarly_communication+research_integrity+insufficient_payloadconsensus · insufficient_payload
5
citations
affunlabeled
Artificial Intelligence and Ethics
Doreen Rosenstrauch, Utpal Mangla, Atul Gupta, Costansia Taikwa Masau
2023· book-chapter· en· Health informatics· Social Sciences
distilled prediction:candidate · stsconsensus · none
5
citations
affunlabeled
Chilling Effects
Jonathon W. Penney
2025· book· Cambridge University Press eBooks· Social Sciences
distilled prediction:candidate · metaepi_narrow+sts+research_integrityconsensus · research_integrity
4
citations
affunlabeled
Preliminary Thoughts on Defining f(x) for Ethical Machines
Clayton Peterson, Naïma Hamrouni
2022· article· en· Proceedings of the ... International Florida Artificial Intelligence Research Society Conference· Social Sciences
distilled prediction:candidate · stsconsensus · none
4
citations
affunlabeled
Law, Science, and Technologies
Bertram Turner, Melanie G. Wiber
2020· book-chapter· en· Oxford University Press eBooks· Social Sciences
distilled prediction:candidate · stsconsensus · sts
4
citations
affunlabeled
Equity Talks @SIGCHI
SIGCHI Executive Committee, Adriana S. Vivacqua, Andrew L. Kun, Cale J. Passmore, Helena M. Mentis, Josh Andrés +14 more
2022· article· en· CHI Conference on Human Factors in Computing Systems Extended Abstracts· Social Sciences
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
4
citations
affno abstractunlabeled
Prediction and Punishment: Critical Report on Carceral AI
Dasha Pruss, Hannah Pullen-Blasnik, Nikki Stevens, Clara Belitz, Logan Stapleton, Mallika G. Dharmaraj +8 more
2025· preprint· en· SSRN Electronic Journal· Social Sciences
distilled prediction:candidate · sts+research_integrityconsensus · none
4
citations
affunlabeled
Human-Computer Interaction and AI
Daniel M. Russell, Q. Vera Liao, Chinmay Kulkarni, Elena L. Glassman, Nikolas Martelaro
2023· article· en· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Strategic Best-Response Fairness Framework for Fair Machine Learning
Hajime Shimao, Warut Khern-am-nuai, Maxime C. Cohen
2024· preprint· en· SSRN Electronic Journal· Social Sciences
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+research_integrityconsensus · research_integrity
4
citations
affno abstractunlabeled
Algorithmic audits of algorithms, and the law
Erwan Le Merrer, Ronan Pons, Gilles Trédan
2023· article· en· AI and Ethics· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affgemma · metaresearch+research_integritygpt · metaresearch+scholarly_communication+research_integritymodels split
Allowing AI co–authors is a disregard for humanization
Aorigele Bao, Yi Zeng
2024· article· en· Accountability in Research· Social Sciences
distilled prediction:candidate · scholarly_communicationconsensus · none
4
citations

How this was built: Screen · Findings · About