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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
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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 22 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.

venueno affno abstractunlabeled
10.1145/3772318.3808906
AI Generated
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueno abstractgemma · metaresearch+scholarly_communicationgpt · scholarly_communicationmodels split
Critical AI Literacy for Sustainable Scholarly Publishing
Chelsea Humphries
2025· article· en· Imaginations Journal of Cross-Cultural Image Studies· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
fundno affunlabeled
eAccess to Justice
2016· book· en· uO Research (University of Ottawa)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Ethics for artificial agents
2018· dissertation· en· DSpace@MIT (Massachusetts Institute of Technology)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Confirm Humanity
Taís Fernanda Blauth
2025· dissertation· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Ethics of Creativity in AI Education
Chunfang Zhou, Tobias Brandt Røssing, Luı́s Cruz-Filipe, Gitte Miller Balslev
2024· article· en· University of Southern Denmark Research Portal (University of Southern Denmark)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
From data revolution to data narratives
Guilherme Cavalcante Silva
2022· article· en· Science as Culture· Social Sciences
machine prediction:candidate · stsconsensus · none
0
citations
affno abstractunlabeled
AI Ethics Strategy Lessons From H&M Group
Martin Kornberger, Elmira van den Broek, Stephan Leixnering
2025· article· en· WU Research· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Introduction to the Ethics in Design Special Section
Stephanie Moore, Ahmed Lachheb
2025· article· en· The Open/Technology in Education Society and Scholarship Association Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Self, Theory, and AI
Russell W. Belk
2019· article· en· Journal of Marketing Behavior· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Incremental AI Risks from Proxy-Simulations
Kristen Menou
2023· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About