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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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Social and Economic Solidarity
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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.

279 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.
279 works in the cohort · of 4,299,418page 4 of 6

Labels cover 0 of 279 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 279 of 279 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
Coronavírus e a ofensiva do capital sobre a educação
Felipe Saluti Cardoso, Wendel Camargo Mendes, Vítor Mendes Monteiro
2020· article· pt· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Temática e Tópico
Carla Teixeira, Matilde Gonçalves
2014· article· es· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
AVALIAÇÃO FAMILIAR ATRAVÉS DO MODELO DE CALGARY A UMA PUÉRPERA
Antônia Janielly Negreiros de Moraes, Sávio Diego Gomes da Silva, Alysan Gomes de Vasconcelos, Breno da Silva Barroso, Ana Kelly Melo de Aquino, Francisca Kamyla de Sousa Ribeiro +6 more
2024· book-chapter· pt· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Trabalho, saúde e sustentabilidade
Maria Inês Monteiro, Aparecida Mari Iguti
2018· article· pt· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Segunda Carta sobre a Argélia
Alexis Charles Henri Maurice Clérel de Tocqueville
2019· article· es· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Acção social e os saberes
Maria do Carmo Brant de Carvalho
2001· article· pt· Service social· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Social Finance and the Commons
Camille Meyer
2017· preprint· en· RePEc: Research Papers in Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Quem Acolhe aos que Acolhem? Trabalho Decente como Ethos da Hospitalidade Organizacional na Hotelaria / Who Welcomes those in Charge of Welcoming? Decent Work as an Ethos of Organizational Hospitality in Hotel Management
Eduardo Silva Sant’Anna, Juliana Carneiro, Carolina Lescura de Carvalho Castro Volta
2021· article· pt· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
parti de classe.
Karl Marx, Friedrich Engels
2007· book· fr· Classiques des sciences sociales.· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About