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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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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.

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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.

1,483 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.
1,483 works in the cohort · of 4,299,418page 4 of 30

Labels cover 4 of 1,483 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 1,483 of 1,483 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
Parler de télévision, parler de soi
André H. Caron, Letizia Caronia
2000· article· fr· Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
« Don’t call me Nigger, Whitey »
Valérie Bonnet
2011· article· fr· Communication· Arts and Humanities
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Le traitement médiagénique de Batman
Frédéric Aubrun, Vladmir Lifschutz
2017· article· fr· Communication· Arts and Humanities
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Portraits de terroristes
Caroline Guibet Lafaye
2017· article· en· Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Le discours médiatique de commémoration
Axel Boursier, Luciana Radut-Gaghi, Isabelle Boyer
2021· article· fr· Communication· Arts and Humanities
machine prediction:candidate · noneconsensus · none
3
citations
affvenueunlabeled
Utopie et SIC
Éric Dacheux
2008· article· fr· Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Journalistes en Suisse romande
Gilles Labarthe
2019· article· fr· Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Le multimédia face à l’immédiat
Amandine Degand
2011· article· fr· Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Sciences humaines,sciences exactes 
Céline Bryon-Portet
2010· article· en· Communication· Arts and Humanities
machine prediction:candidate · noneconsensus · none
3
citations
affvenueunlabeled
À la recherche des téléromans
Nathalie Nicole Bouchard
2000· article· fr· Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Detroit
Simon Renoir
2019· article· en· Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Comment peut-on faire du people ?
Jamil Dakhlia
2009· article· fr· Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
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