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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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Privacy, Security, and Data Protection
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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.

1,237 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.
1,237 works in the cohort · of 4,299,418page 10 of 25

Labels cover 2 of 1,237 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 1,237 of 1,237 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Divine omniscience, privacy, and the state
David Elliott, Eldon Soifer
2017· article· en· International Journal for Philosophy of Religion· Social Sciences
distilled prediction:candidate · stsconsensus · none
4
citations
affaboutunlabeled
The use of TikTok by the police
Juliana Kata Pereira Babic, Rylan Simpson
2024· article· en· International Journal of Police Science & Management· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
IPO 2.0: The Panopticon Goes Public
Greg Elmer
2013· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Social Sciences
distilled prediction:candidate · sts+scholarly_communication+open_science+insufficient_payloadconsensus · none
4
citations
venueno affunlabeled
Open Data - what the citizens really want
Wolfgang Both
2012· article· en· The Journal of Community Informatics· Social Sciences
distilled prediction:candidate · sts+open_scienceconsensus · none
4
citations
affunlabeled
GEOLOCATION: LOCATING TRUST IN DIGITAL PLATFORMS AND ECONOMIES
Peta Mitchell, Agnieszka Leszczynski, Matthew Zook, Joe Blankenship, Caitlin McGrane, Larissa Hjorth +2 more
2019· article· en· AoIR Selected Papers of Internet Research· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Digital privacy: theory, policies and technologies
Annie I. Antón, Travis D. Breaux, Stefanos Gritzalis, John Mylopoulos
2011· article· en· Requirements Engineering· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Curing Spam: Rights, Signals & Screens
Marshall Van Alstyne
2007· article· en· SSRN Electronic Journal· Social Sciences
distilled prediction:candidate · stsconsensus · none
3
citations

How this was built: Screen · Findings · About