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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.

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 ·
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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 9 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.

affunlabeled
AI Loyalty by Design
Anthony Aguirre, Peter B. Reiner, Harry Surden, Gaia Dempsey
2022· book-chapter· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Self-Driving Laws
Anthony J. Casey, Anthony Niblett
2016· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
(Un)stable diffusions
Fenwick McKelvey, Joanna Redden, Jonathan Roberge, Luke Stark
2024· article· en· Journal of Digital Social Research· Social Sciences
machine prediction:candidate · stsconsensus · none
6
citations
affunlabeled
Artificial Intelligence and Moral Theology: A Conversation
Brian Patrick Green, Matthew J. Gaudet, Levi Checketts, Brian Cutter, Noreen Herzfeld, Cory Andrew Labrecque +5 more
2022· article· en· Journal of Moral Theology· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Ethics in the Digital Era: Nothing New?
Laura Specker Sullivan, Peter B. Reiner
2020· article· en· IT Professional· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Artificial Knowing Otherwise
Os Keyes, Kathleen Creel
2022· article· en· Feminist Philosophy Quarterly· Social Sciences
machine prediction:candidate · stsconsensus · none
5
citations
aboutno affunlabeled
Teaching AI ethics in a flipped classroom
TaylorGreg, Debzani Deb
2021· article· en· Journal of computing sciences in colleges· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About