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
Privacy, Security, and Data Protection
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.

1,237 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.
1,237 works in the cohort · of 4,299,418page 3 of 25

Labels cover 2 of 1,237 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 1,237 of 1,237 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.

affno abstractunlabeled
Towards a Privacy Rule Conceptual Model for Smart Toys
Laura Rafferty, Patrick C. K. Hung, Marcelo Fantinato, Sarajane Marques Peres, Farkhund Iqbal, Sy‐Yen Kuo +1 more
2017· book-chapter· en· International series on computer entertainment and media technology· Social Sciences
machine prediction:candidate · noneconsensus · none
34
citations
afffundunlabeled
Towards a Privacy Rule Conceptual Model for Smart Toys
Laura Rafferty, Patrick C. K. Hung, Marcelo Fantinato, Sarajane Marques Peres, Farkhund Iqbal, Sy‐Yen Kuo +1 more
2017· article· en· Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
When Big Data Enables Behavioral Manipulation
Daron Acemoğlu, Ali Makhdoumi, Azarakhsh Malekian, Asuman Ozdaglar
2025· article· en· American Economic Review Insights· Social Sciences
machine prediction:candidate · stsconsensus · none
29
citations
affunlabeled
Challenges of Capturing Natural Web-Based User Behaviors
Melanie Kellar, Kirstie Hawkey, Kori Inkpen, Carolyn Watters
2008· article· en· International Journal of Human-Computer Interaction· Social Sciences
machine prediction:candidate · noneconsensus · none
28
citations
affunlabeled
AppMoD
Zhiyuan Wan, Lingfeng Bao, Debin Gao, Eran Toch, Xin Xia, Tamir Mendel +1 more
2019· article· en· Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies· Social Sciences
machine prediction:candidate · noneconsensus · none
27
citations
afffundunlabeled
Investigating Users’ Perspectives of Web Single Sign-On
San-Tsai Sun, E Pospísil, Ildar Muslukhov, Nuray Dindar, Kirstie Hawkey, Konstantin Beznosov
2013· article· en· ACM Transactions on Internet Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
Privacy policy compliance for Web services
George Yee, Larry Korba
2004· article· en· Proceedings. IEEE International Conference on Web Services, 2004.· Social Sciences
machine prediction:candidate · noneconsensus · none
27
citations
aboutno affunlabeled
PRISM and privacy: will this change everything?
Christopher Kuner, F. H. Cate, C. Millard, Dan Jerker B. Svantesson
2013· article· en· International Data Privacy Law· Social Sciences
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
Re-Mediating Research Ethics
Florence Chee, Nicholas T. Taylor, Suzanne de Castell
2012· article· en· Bulletin of Science Technology & Society· Social Sciences
machine prediction:candidate · metaresearch+sts+research_integrityconsensus · none
25
citations
affunlabeled
Re-reading Westin
Lisa M. Austin
2019· article· en· Theoretical Inquiries in Law· Social Sciences
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Cyborglogging with camera phones
Steve Mann, James Fung, Raymond Lo
2006· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
24
citations

How this was built: Screen · Findings · About