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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 25 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.

afffundunlabeled
Ethics of AI Explained
Clayton Peterson
2024· article· en· Proceedings of the ... International Florida Artificial Intelligence Research Society Conference· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
ALGORITHMIC PRODUCTION BEYOND SILICON VALLEY
Dan M. Kotliar, Rivka Ribak, Shazeda Ahmed, Jonathan Roberge, Marius Senneville
2020· article· en· AoIR Selected Papers of Internet Research· Social Sciences
machine prediction:candidate · stsconsensus · none
0
citations
affunlabeled
Fairness in Classifying and Grouping Health Equity Information
Ruinan Jin, Xiaoxiao Li, Lorraine J. Block, Ivan Beschastnikh, Leanne M. Currie, Charlene Ronquillo
2024· article· en· Studies in health technology and informatics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Ethical Considerations and Challenges
Seyed Navid Mashhadi Moghaddam, Huhua Cao
2024· book-chapter· en· City development· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Group Fairness
Arthur Charpentier
2024· book-chapter· ca· Springer Actuarial· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Conclusion
Dilli Prasad Sharma, Arash Habibi Lashkari, Mahdi Daghmehchi Firoozjaei, Samaneh Mahdavifar, Pulei Xiong
2025· book-chapter· en· Progress in IS· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Ethical Frameworks for Public Safety Analytics
Keira C. Stockdale, Brian G. Rector
2024· book-chapter· en· Advanced sciences and technologies for security applications· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The AI-design regress
Pamela Robinson
2024· article· en· Philosophical Studies· Social Sciences
machine prediction:candidate · stsconsensus · none
0
citations
affunlabeled
The evolving AI regulation space
Nic DePaula, Lu Gao, Sehl Mellouli, Luis F. Luna‐Reyes, Teresa M. Harrison
2025· article· en· Conference on Digital Government Research· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
What Security Means to Me
Chloe Bynoe
2021· article· en· The Journal of Intelligence Conflict and Warfare· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Ethics of Drones
Philip MacEwen
2023· article· en· Canadian Journal of Practical Philosophy· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
AI-Based Technologies
Ellen Balka, Ina Wagner, Anne Weibert, Volker Wulf
2024· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
AI, Privacy, and Power
Swati Chakraborty
2025· book-chapter· en· Advances in computational intelligence and robotics book series· Social Sciences
machine prediction:candidate · stsconsensus · none
0
citations
affvenueaboutunlabeled
Responsible AI
Jennifer Raso
2024· article· en· McGill Law Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Authenticity Over Algorithms
2025· article· en· ACSMʼs Health & Fitness Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About