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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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Gestion
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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.

1,710 results · 1 filter active ·
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20012025
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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.
1,710 works in the cohort · of 4,299,418page 32 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.

venueno affunlabeled
La main, l’organe du leadership
Christophe Roux‐Dufort
2023· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Adaptation stratégique et mondialisation:
Aziz Mouline, Taı̈eb Hafsi
2008· article· fr· Gestion· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
La négociation collaborative
Jean Poitras
2016· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Performant le matin ou le soir ?
Martine Letarte
2021· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Trois solutions pour un réseau plus innovateur
Nadia Benomar, Joanne Castonguay, Marie‐Hélène Jobin, Sylvie Lemieux
2018· article· fr· Gestion· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
L'expérience de consommation
Sylvie Caron
2009· article· fr· Gestion· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
La tension entre le mondial et le local
Rabia Naguib
2006· article· fr· Gestion· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Vu d’ailleurs… La vente
Simona Camelia Plopeanu
2019· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Le grand virage des PME
Jean-François Venne
2022· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Homo numericus au travail
Myriam Jézéquel
2017· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Les données au service du savoir
Yoshua Bengio, Andrea Lodi
2017· article· fr· Gestion· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Fusions et acquisitions
François Normandin
2016· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About