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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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˜The œFrench review
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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.

225 results · 1 filter active ·
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20002025
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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.
225 works in the cohort · of 4,299,418page 3 of 5

Labels cover 2 of 225 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 225 of 225 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
Rapatriés par Néhémy Pierre-Dahomey
Jason Herbeck
2017· article· fr· ˜The œFrench review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Premier sang by Amélie Nothomb
Mark D. Lee
2022· article· en· ˜The œFrench review· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Vies parallèles par Côté Benoît
Louis Bousquet
2023· article· fr· ˜The œFrench review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Polisse by Maïwenn
Caroline Beschea-Fache
2012· article· en· ˜The œFrench review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
From the Editor’s Desk
Edward Ousselin
2010· article· en· ˜The œFrench review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
La Barque silencieuse by Pascal Quignard
Jean-Louis Pautrot
2011· article· en· ˜The œFrench review· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affgemma · no categorygpt · no categorymodels agree
Écoute la pluie by Michèle Lesbre
Cécile Hanania
2014· article· fr· ˜The œFrench review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Kampuchéa by Patrick Deville
Warren Motte
2012· article· en· ˜The œFrench review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Incertitudes by Josée Bilodeau
Jennifer K. Wolter
2011· article· en· ˜The œFrench review· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Collector by Olivier Bonnard
Michèle Bacholle-Bošković
2017· article· en· ˜The œFrench review· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Sors de ce corps par François Leblanc
Ritt Deitz
2016· article· fr· ˜The œFrench review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About