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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.

1,710 results · 1 filter active ·
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20012025
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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.
1,710 works in the cohort · of 4,299,418page 8 of 35

Labels cover 4 of 1,710 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 1,710 of 1,710 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.

venueaboutno affunlabeled
Démystifier la mise en place de l'écoconception
Corinne Berneman, Paul Lanoie, Sylvain Plouffe, Marie‐France Vernier
2013· article· fr· Gestion· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Commerce de détail : tendances et défis
Christophe Vignon
2013· article· fr· Gestion· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affvenueno abstractunlabeled
Encore !
Laurent Lapierre
2008· article· fr· Gestion
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Qui a peur du big data  ?
Sylvain Lafrance
2017· article· fr· Gestion· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Comptabilité
Jacques Fortin
2007· article· fr· Gestion· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
La relation client
Michèle Paulin
2008· article· en· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
Les médias sociaux en 8 points
Christian Dussart
2016· article· fr· Gestion· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Qu’est-ce que la résilience d’entreprise ?
Mathias Baitan, Dominique Jolly, Estelle M. Morin
2020· article· fr· Gestion· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Comment être jeune et consultant?
Jacques Poulaille
2004· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Un code d'éthique, oui, mais comment?
Fabien Durif, Richard Binette, Myriam Forest, Émilie Vachon
2009· article· fr· Gestion· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Embellie en vue pour le Québec, si...
Jacqueline Cardinal, Pierre Cléroux
2015· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
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