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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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Urban, Neighborhood, and Segregation Studies
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.

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.

1,147 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.
1,147 works in the cohort · of 4,299,418page 21 of 23

Labels cover 1 of 1,147 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 1,147 of 1,147 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.

aboutno affunlabeled
Center for Small Towns is decade old
2005· article· en· Digital Well (University of Minnesota Morris)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Intangible Cultural Heritage - Manual
2017· book· en· Open Repository and Bibliography (University of Liège)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Urban scaling with censored data
Inês Figueira, Rayan Succar, Roni Barak Ventura, Maurizio Porfiri
2025· article· en· PLOS complex systems.· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Granular polymer nanocomposites
2013· dissertation· en· eScholarship@McGill (McGill)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundvenueaboutunlabeled
Making room for everyone
Alex Petric, Dawn C. Parker, Sean Geobey, Kirsten Wright
2024· article· en· Canadian Planning and Policy / Aménagement et politique au Canada· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
The search for the holy flaw
Ivan Zinger, Cherami Wichmann
2001· article· en· Canadian Journal of Criminology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Clustering Ontario Renters
Anthony Piscitelli
2025· article· en· Journal of innovation in polytechnic education.· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
“I Didn’t Really Want to Leave”
Molly W. Metzger, Jane E. Oliphant
2019· article· en· Critical Social Work· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About