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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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Diverse Cultural and Historical Studies
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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,680 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,680 works in the cohort · of 4,299,418page 34 of 34

Labels cover 6 of 1,680 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 1,680 of 1,680 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
Notices bio-bibliographiques
2004· article· fr· Intermédialités Histoire et théorie des arts des lettres et des techniques· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
SERGIO KOKIS: DE L'IMAGE AU TEXTE
Nicolas Bony
2010· book· fr· Editions universitaires europeennes eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
D’où vient l’or de la Baie-James?
Arnaud Fontaine
2015· article· fr· EspaceINRS (National Institute for Scientific Research (Canada))· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Scott McFarland: Garden Optics
Christopher Brayshaw
2001· article· nl· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
La chaise berçante
David Dorais
2017· article· fr· XYZ. La revue de la nouvelle· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Dégraisser la bête
Jean-Philippe Payette
2016· article· fr· Liberté· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Le coq et le panda
Didier Evrard
2012· article· fr· Monde chinois· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Les Midis de l'intermédialité
2021· article· fr· Industrias Culturais (Universidade de Coimbra)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Perdre le crayon
Diane-Monique Daviau
2000· article· fr· XYZ. La revue de la nouvelle· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Rapatriés par Néhémy Pierre-Dahomey
Jason Herbeck
2017· article· fr· ˜The œFrench review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About