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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.

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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
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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
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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 22 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.

affaboutunlabeled
Comment Travailler La Mémoire Sur Twitter
Alexandre Turgeon
2014· article· fr· Études canadiennes / Canadian Studies· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Le Devoir des annonceurs
Jean de Bonville, Cyntia Darisse
2012· article· fr· Communication· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Les planétariums numériques
Walter Guyot, H. M. Courtois, Jacques Toussaint
2013· article· fr· Muséologies Les cahiers d études supérieures· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
La botte du cowboy
Morgane Kieffer
2019· article· fr· Études françaises· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Mythes écologiques du numérique
Ambroise Baillifard, Olivier Ertz, Stéphane Lecorney, Corinna Martarelli
2024· article· fr· Formation et profession· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Archives et République
Philippe Bélaval
2001· article· fr· Le Débat· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
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How this was built: Screen · Findings · About