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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
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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 14 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
Algoritmo e governamentalidade
Bruno Stramandinoli Moreno, Carlos José Martins, Diane‐Gabrielle Tremblay
2020· article· pt· InCID Revista de Ciência da Informação e Documentação· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Visual Moral Inference and Communication
Aida Ramezani, Yang Xu
2025· article· en· Topics in Cognitive Science· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Ethics Sheets for AI Tasks
Saif M. Mohammad
2022· preprint· en· Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations
affno abstractunlabeled
Ethics
Nico Formánek, Juan M. Durán, Paul K Davis, Andreas Tolk, Tuncer Ören
2023· book-chapter· en· Simulation foundations, methods and applications· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Information Ethics – A Position Paper
Rafael Capurro
2004· article· en· The International Review of Information Ethics· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
AI’s Democratic Challenge
Peer Zumbansen
2024· article· en· McGill Law Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Meaningful Work as Due Inducement
Charles Weijer
2005· article· en· Metamedicine· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Artificial Intelligence and Libraries
Amanda Wheatley, Sandy Hervieux
2024· book-chapter· en· Elsevier eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Artificial Intelligence Testing
Eric Neufeld, Sonje Finnestad
2016· article· en· The Florida AI Research Society· Social Sciences
machine prediction:candidate · stsconsensus · none
1
citations
affno abstractunlabeled
FairUDT: Fairness-aware Uplift Decision Trees
Anam Zahid, Shaina Raza, Rai Shahnawaz, Faisal Kamiran, Asim Karim
2025· article· en· Knowledge-Based Systems· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A Grading Rubric for AI Safety Frameworks
Jide Alaga, Jonas Schuett, Markus Anderljung
2025· article· SuperIntelligence - Robotics - Safety & Alignment· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
When Not to Use AI
Ketra Schmitt
2024· article· en· IEEE Technology and Society Magazine· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About