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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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Language and cultural evolution
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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.

495 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
495 works in the cohort · of 4,299,418page 4 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
Archeology and the language-ready brain
Benoît Dubreuil, Christopher S. Henshilwood
2013· article· en· Language and Cognition· Social Sciences
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
The acquired language of thought hypothesis
Christopher Viger
2007· article· en· Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems· Social Sciences
machine prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
Evolution of artifact capabilities
Felicitas Mokom, Ziad Kobti
2011· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
The problem of alignment
Tsvetelina Hristova, Liam Magee, Karen Soldatić
2024· article· en· AI & Society· Social Sciences
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Material culture and language
Benoît Dubreuil, Christopher S. Henshilwood
2013· book-chapter· en· Studies in language companion series· Social Sciences
machine prediction:candidate · noneconsensus · none
8
citations
fundno affunlabeled
Richer Countries and Richer Representations
Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
2022· article· en· Findings of the Association for Computational Linguistics: ACL 2022· Social Sciences
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
The origins of language variation
Denis Bouchard
2003· article· en· Linguistic Variation Yearbook· Social Sciences
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
The Evolutionary Approach to History
Marion Blute, Fiona M. Jordan
2018· book· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Robots Learning to Say “No”
Frank Förster, Joe Saunders, Hagen Lehmann, Chrystopher L. Nehaniv
2019· article· en· ACM Transactions on Human-Robot Interaction· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Epistemology and the Structure of Language
Jeffrey A. Barrett, Travis LaCroix
2020· article· en· Erkenntnis· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
What shapes social decision making?
Simon M. Reader, Ioannis Leris
2014· letter· en· Behavioral and Brain Sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About