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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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Ethics and Social Impacts of AI
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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.

1,449 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.
1,449 works in the cohort · of 4,299,418page 20 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. 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.

aboutno affunlabeled
Оцінка ефективності застосування міжнародних стандартів та регуляторних актів з регулювання моделей штучного інтелекту для України
Є.О. Логачова, М.В. Єсіна, Д.Ю. Голубничий
2025· article· uk· The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Moonlight on the Huron River
2008· other· en· OhioLink ETD Center (Ohio Library and Information Network)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Open Justice Ontology (OJO)
Felipe Ribeiro
2025· article· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Dilemmas Interacting with Generative AI
Patrick Parra Pennefather
2023· book-chapter· en· Design Thinking· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Trustworthy AI and the EU AI Act: Market Analysis
Gabriel G. Castañé, Julia Palma, Irene López de Vallejo, Adrian Byrne, Andrés L Suárez-Cetrulo, Ricardo Simon Carbajo +29 more
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Les hôtels de Métis et leurs hôteliers
2025· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Digital Morality and Ethics
Peter Danielson
2011· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
In-processing
Arthur Charpentier
2024· book-chapter· en· Springer Actuarial· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About