MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Language and cultural evolution
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.

495 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.
495 works in the cohort · of 4,299,418page 2 of 10

Labels cover 0 of 495 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 495 of 495 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.

affunlabeled
Flexible word meaning in embodied agents
Peter Wellens, Martin Loetzsch, Luc Steels
2008· article· en· Connection Science· Social Sciences
machine prediction:candidate · noneconsensus · none
49
citations
affunlabeled
Drivers of geographical patterns of North American language diversity
Marco Túlio Pacheco Coelho, Elisa Barreto, Hannah J. Haynie, Thiago F. Rangel, Patrick H. Kavanagh, Kathryn R. Kirby +6 more
2019· article· en· Proceedings of the Royal Society B Biological Sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
40
citations
affno abstractunlabeled
Evolving Culture Versus Local Minima
Yoshua Bengio
2014· book-chapter· en· Studies in computational intelligence· Social Sciences
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Symbol‐grounding Problem
Stevan Harnad
2005· other· en· Encyclopedia of Cognitive Science· Social Sciences
machine prediction:candidate · noneconsensus · none
34
citations
afffundunlabeled
Modularizing speech
Bryan Gick, Ian Stavness
2013· article· en· Frontiers in Psychology· Social Sciences
machine prediction:candidate · noneconsensus · none
31
citations
afffundunlabeled
On The Evolutionary Origin of Symbolic Communication
Paul Grouchy, G.M.T. D’Eleuterio, Morten H. Christiansen, Hod Lipson
2016· article· en· Scientific Reports· Social Sciences
machine prediction:candidate · noneconsensus · none
30
citations
afffundunlabeled
The Evolution of Intelligence
Liane Gabora, Anne E. Russon
2011· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
30
citations
affunlabeled
How is meaning grounded in dictionary definitions?
Alexandre Blondin Massé, Guillaume Chicoisne, Yassine Gargouri, Stevan Harnad, Olivier Picard, Odile Marcotte
2008· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
30
citations
affunlabeled
Design patterns for complex learning
Shanta Rohse, Terry Anderson
2006· article· en· Journal of Learning Design· Social Sciences
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
Variational Memory Addressing in Generative Models
Jörg Bornschein, Andriy Mnih, Daniel Zoran, Danilo Jimenez Rezende
2017· article· en· Neural Information Processing Systems· Social Sciences
machine prediction:candidate · noneconsensus · none
26
citations
← previousnext →

How this was built: Screen · Findings · About