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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.

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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
Retraction
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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
Evidence
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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 26 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
Lost in the mirror?
Claire Malone
2025· article· en· Physics World· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Introduction
2025· book-chapter· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Technological Consciousness and Moral Agency
Rocci Luppicini
2010· book-chapter· en· Advances in information security, privacy, and ethics book series· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Fairness Impact Assessment
Cameron Shelley
2022· article· en· International Journal of Technoethics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Why and how to evaluate Trustworthiness in AI?
Élise Durnerin, Joseph Gardette, Enola Constanceau, Aline Roc, Charles Fage
2025· article· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Integrating GenAI in Schools
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Why Do People Trust Physiognomic AI?
Chris Gell, Peter R. Lewis
2025· article· IEEE Technology and Society Magazine· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Individuals and Relations
2023· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Data Set Failures and Intersectional Data
Nikki Stevens
2019· article· en· Journal of Cultural Analytics· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
The Use of AI and Robotics in Armed Conflicts
Alexis Meslin, Esger Ten Thij, Peter Novitzky, Channarong Intahchomphoo
2024· book-chapter· en· Advances in transdisciplinary engineering· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorial
Denise Doyle
2024· article· en· Virtual Creativity· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
D5.9 First report on the evalaution process
Charles Fage, Élise Durnerin, Joseph Gardette, Aline Roc, Enola Constanceau
2025· article· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
D5.6 First report on the evaluation process
Charles Fage, Élise Durnerin, Joseph Gardette, Aline Roc, Enola Constanceau
2025· article· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Introduction
Peter Andes, Nidhi Hegde, Geoffrey Rockwell
2024· article· en· The International Review of Information Ethics· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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