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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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French Language Learning Methods
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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,110 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.
2,110 works in the cohort · of 4,299,418page 31 of 43

Labels cover 4 of 2,110 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 2,110 of 2,110 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.

aboutno affunlabeled
L’école franco-ontarienne
Monica Heller
2023· book-chapter· fr· ENS Éditions eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Valorisation de la littérature pour la jeunesse
Anne Rusnak
2009· article· fr· Canadian Children's Literature / Littérature canadienne pour la jeunesse· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1624-6381(21)42191-1
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Outil TDAH en milieu scolaire
Dana Afanasenko, Dominique Léveillée, Yuping Li, Laurence Messier, Safiya Patel, Isabelle Pépin +4 more
2014· article· fr· Papyrus : Institutional Repository (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Comment définir le Francophone? Quelques réflexions
Julie Byrd-Clark
2006· article· fr· Plume, Revue semestrielle de l'Association Iranienne de Langue et Littérature Françaises· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Souvenirs de Michèle Therrien
Guy Bordin
2019· article· fr· Journal de la Société des Américanistes· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Ressources numériques centralisées
P Fleury
2014· article· fr· //www2.cslaval.qc.ca/trousseapo· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About