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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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Youth Education and Societal Dynamics
Retraction
Abstract
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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.

821 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.
821 works in the cohort · of 4,299,418page 15 of 17

Labels cover 0 of 821 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 821 of 821 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.

affaboutunlabeled
Introduction: Intergenerational Thinking
Katherine Binhammer
2024· article· en· ABO Interactive Journal for Women in the Arts 1640-1830· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Vulnerability and narrative in later life
Kate de Medeiros, Polina Ermoshkina
2024· article· de· Zeitschrift für Gerontologie und Geriatrie· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Work, learning and social change
Peter H. Sawchuk
2024· article· en· Studies in Continuing Education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Augmenting the Left
A.T. Kingsmith, Julian von Bargen, Karen Murray, Robert Latham
2018· article· en· Global Discourse· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Lifelong Learning and Social Cohesion
Audrey Dumas, Philippe Méhaut, Noémie Olympio, Isabelle Diméglio
2013· book-chapter· en· Palgrave Macmillan UK eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Faglig trivsel:ungdomsuddannelserne under lup
Eva Lykkegaard, Ane Qvortrup
2025· book· da· University of Southern Denmark Research Portal (University of Southern Denmark)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Book reviews
Diane Dagenais, Cécile Sabatier, Alexander Gray, Bernard Schıssel, Karim H. Karim, Hans Werner +2 more
2005· article· fr· Journal of International Migration and Integration / Revue de l integration et de la migration internationale· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueaboutno affunlabeled
Socialization
2014· article· en· Relations industrielles· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Book reviews
Tom Nesbit, Leona M. English, Donovan Plumb, Meg Maguire, Heather Lynch, Rob Mark +5 more
2009· article· en· Studies in the Education of Adults· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Youth Learning in Afterschool Programs
Al Lauzon, Sarah Christie, Heather Cross, Bushra Khan, Bakhtawar Khan
2015· book-chapter· en· Advances in educational technologies and instructional design book series· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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