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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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Cultural Insights and Digital Impacts
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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.

6,036 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.
6,036 works in the cohort · of 4,299,418page 52 of 121

Labels cover 22 of 6,036 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 6,036 of 6,036 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 affno abstractunlabeled
Wim Delvoye, DHC/ART, Montréal
Dominique Sirois-Rouleau
2017· article· es· Érudit (Université de Montréal)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
L’émergence de la lecture numérique
Pascal Grégoire
2010· article· fr· Érudit (Université de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Qui ça, bêtes et méchants ?
Bado
2016· book· fr· Editions David eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Archivistique et numérique. Notes de recherche 3
Yvon Lemay, Anne Klein, Annaëlle Winand, Simon Côté-Lapointe, William Yoakim
2021· article· fr· Papyrus : Institutional Repository (Université de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Nouveautés à la librairie du CCA
2012· article· fr· OpenEdition (OpenEdition)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Photographier à Québec : Dix fragments
Yves Laroche
2008· article· fr· Érudit (Université de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Chapitre 6. La mise en marché et la vente des livres
Fiona A. Black, E. V. Hulse, Greta Golick, Bert Riggs, Yvan Lamonde, Andrea Rotundo +1 more
2005· book-chapter· fr· Presses de l’Université de Montréal eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Forum: Sur Eugene Eoyang: Note de l'éditeur
Jonathan Locke Hart
2013· article· fr· Canadian review of comparative literature· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Faire avec. L’écriture de l’usage
Philippe Charron
2019· article· fr· Revue critique de fixxion française contemporaine· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About