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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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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.

31 results · 1 filter active ·
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20012024
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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.
31 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 31 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 31 of 31 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.

affunlabeled
Making room for numbers in self-care
Éric Dagiral, Séverine Dessajan, Tomas Legon, Olivier Martin, Anne-Sylvie Pharabod, Serge Proulx
2019· article· fr· Réseaux· Health Professions
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Filmer et être filmé
Michaël Meyer, Samuel Tanner
2017· article· fr· Réseaux· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Plaisanteries d’initiés
Marion Ink
2016· article· fr· Réseaux· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Statistiques et menaces numériques
Anne‐Marie Côté, Maxime Bérubé, Benoît Dupont
2016· article· fr· Réseaux· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Les témoins du désir
Jean‐Baptiste Lamarche
2017· article· fr· Réseaux· Psychology
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Faire parti sur Twitter
Camille Beaurepaire, Yvan Boude, Avner Bar‐Hen
2024· article· fr· Réseaux· Arts and Humanities
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Résonance et théorie critique
Charles Taylor, Émilie Martini
2022· article· fr· Réseaux· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Les liens faibles du crime en ligne
Benoît Dupont
2016· article· fr· Réseaux· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Cadrer sans discipliner
Jean-Sébastien Vayre, Lucie Larnaudie, Aude Dufresne
2017· article· fr· Réseaux· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Les mobilisations de clavier
Romain Badouard
2013· article· fr· Réseaux· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Hommage à Nicolas Auray
Serge Proulx
2018· article· fr· Réseaux· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About