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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 12 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.

venueno affunlabeled
L’Hypertexte et ses prédécesseurs
Gaëlle Debeaux
2015· article· fr· Sens public· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Introduction
Annette Béguin, Stéphane Chaudiron, Éric Delamotte
2007· article· fr· Etudes de communication/Études de communication· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
venueno affunlabeled
L’après-rupture
Isabelle Panneton
2010· article· fr· Circuit Musiques contemporaines· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Le circuit du désir musical
Bernard Stiegler, Nicolas Donin
2010· article· fr· Circuit Musiques contemporaines· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
La vie intime des objets culturels
Jeffrey T. Schnapp
2020· article· fr· Culture & Musées· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
« Archive-it-yourself »
Sylvain David
2016· article· fr· Sens public· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
L’oeuvre ouverte de Lucien Goldman
Michel Brûlé
2002· article· fr· Sociologie et sociétés· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
La musicologie par l’art radiophonique
David Christoffel
2023· article· fr· Intersections Canadian Journal of Music· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Introduction
Michèle Hudon, Widad Mustafa El Hadi
2012· article· fr· Etudes de communication/Études de communication· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations
venueno affunlabeled
Présenter un titre de presse
Laurence Mündschau
2007· article· fr· Communication· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Introduction du dossier : Profession journaliste
Larbi Chouikha, Chérif Dris, Dominique Marchetti, Belkacem Mostefaoui
2016· article· fr· L Année du Maghreb· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Sondage sur la capacité des services institutionnels de gestion des données de recherche, rapport INSIGHTS no2 Capacité des établissements au chapitre du personnel hautement qualifié, de l'infrastructure et des services
Alexandra Cooper, Lucia Costanzo, Dylanne Dearborn, Shahira Khair, Carol Perry, Andrea Szwajcer +1 more
2021· report· fr· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · metaresearchconsensus · none
2
citations
affunlabeled
Introduction
Pascale Guibert
2007· article· en· Revue LISA / LISA e-journal· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
venueno affunlabeled
Introduction
Alexandre Gefen
2024· article· fr· Belphégor· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations
fundno affunlabeled
Appropriation des technologies
Guillaume Latzko-Toth, Serge Proulx
2015· book-chapter· fr· Presses de l’Université de Montréal eBooks· Computer Science
machine prediction:candidate · stsconsensus · none
2
citations

How this was built: Screen · Findings · About