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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
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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.

6,036 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.
6,036 works in the cohort · of 4,299,418page 66 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.

affvenueunlabeled
La politique québécoise du livre
Michel Robert
2018· article· fr· Documentation et bibliothèques· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Télécommunications et bibliothèques
Gérard Mercure
2018· article· fr· Documentation et bibliothèques· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
aboutno affunlabeled
PAR
2014· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
John Rea déballe sa bibliothèque
Anne Marie Messier, Michel Robert
2016· article· fr· Circuit Musiques contemporaines· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Après la bataille ?
Marie-Ève Thérenty
2021· article· fr· Sociétés & Représentations· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
La double vie de Veronique DVD
Jan Uhde
2006· article· en· Kinema A Journal for Film and Audiovisual Media· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Independent Publisher
2016· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Le plagiat, essai de dépistage
Hélène Maurel-Indart
2003· article· fr· Acta Fabula· Computer Science
machine prediction:candidate · research_integrityconsensus · none
0
citations
affvenueaboutunlabeled
Le droit à l’information au Québec
Gaston Bernier
2018· article· fr· Documentation et bibliothèques· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Un « je » pour deux
Louis-Daniel Godin
2018· article· fr· Captures· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Le son généreux [pour une hyper-écoute]
Chantale Laplante
2012· article· fr· Intersections Canadian Journal of Music· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Conversations d'artistes / Conversations with Artists
Shawn Serfas, Abigail Serfas, Alexandra Yakovleva, Catherine Parayre, Geoff Farnsworth, Daniel Manchego-Badiola +2 more
2015· article· en· ti<· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About