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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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Aging, Elder Care, and Social Issues
Retraction
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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
fundfunder
venuejournal
aboutaboutness

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

2,429 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.
2,429 works in the cohort · of 4,299,418page 15 of 49

Labels cover 6 of 2,429 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 2,429 of 2,429 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
Who pays for the consumption of young and old ?
Hippolyte d’Albis, Carole Bonnet, Xavier Chojnicki, Najat El Mekkaouide Freitas, Angela Greulich, Jérôme Hubert +1 more
2018· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Âgisme
Eric Gagnon
2019· article· fr· Anthropen· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Vivre et Vieillir en Milieu d’Hébergement
Michèle Charpentier, Nancy Guberman, Maryse Soulières
2010· book-chapter· fr· Presses de l'Université du Québec eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Au–delà de la vieillesse
Michèle Charpentier, Anne Quéniart
2007· article· fr· Gérontologie et société· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Conjuguer « Vieillir » au Féminin Pluriel
Michèle Charpentier, Véronique Billette
2010· book-chapter· fr· Presses de l'Université du Québec eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Les enfants singuliers
Patricia Myriam Isimat-Mirin
2017· article· fr· Revue de l’Université de Moncton· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Vieillir seule chez soi
Éric Gagnon, Anne‐Marie Séguin, Bernadette Dallaire, Isabelle Van Pevenage, Véronique Billette
2021· article· fr· Recherches sociographiques· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Finir ses jours chez soi
Murielle Pott, Laurence Seferdjeli, Rose-Anna Foley
2012· article· fr· Nouvelles pratiques sociales· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Le vieillissement de la main-d’œuvre
Maxime Johnson
2024· article· fr· Gestion· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Les classifications du vieillissement
Isabelle Marchand, Anne Quéniart, Michèle Charpentier
2018· article· fr· Emulations - Revue de sciences sociales· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
A mental health model of older Canadians
Marty Paterson
2007· article· en· Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/s0246-1072(24)48446-0
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
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