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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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Digital Marketing and Social Media
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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
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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.

1,878 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.
1,878 works in the cohort · of 4,299,418page 3 of 38

Labels cover 2 of 1,878 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 1,878 of 1,878 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Leveraging sponsorship: The activation ratio
Norm O’Reilly, Denyse Lafrance Horning
2013· article· en· Sport Management Review· Social Sciences
distilled prediction:candidate · noneconsensus · none
110
citations
affaboutunlabeled
Rethinking the TAM model: time to consider fun
Mohamed Chtourou, Nizar Souiden
2010· article· en· Journal of Consumer Marketing· Social Sciences
distilled prediction:candidate · metaresearchconsensus · none
105
citations
affunlabeled
How online word‐of‐mouth impacts receivers
Sarah G. Moore, Katherine C. Lafreniere
2019· article· en· Consumer Psychology Review· Social Sciences
distilled prediction:candidate · noneconsensus · none
104
citations
affunlabeled
Internet of Things (IoT) in smart tourism: a literature review
Chowdhury Noushin Novera, Zobayer Ahmed, Rafsanjany Kushol, Peter Wänke, Md. Abul Kalam Azad
2022· review· en· Spanish Journal of Marketing - ESIC· Social Sciences
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · metaresearch
95
citations
fundno affunlabeled
Loyalty in Online Communities
William Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec
2017· article· en· Proceedings of the International AAAI Conference on Web and Social Media· Social Sciences
distilled prediction:candidate · noneconsensus · none
91
citations
affno abstractunlabeled
Social commerce as social networking
Ahmed Doha, Nada Elnahla, Lindsay McShane
2018· article· en· Journal of Retailing and Consumer Services· Social Sciences
distilled prediction:candidate · stsconsensus · none
85
citations
affunlabeled
Web site satisfaction and purchase intentions
Chatura Ranaweera, Harvir S. Bansal, Gordon H.G. McDougall
2008· article· en· Managing Service Quality· Social Sciences
distilled prediction:candidate · noneconsensus · none
84
citations
affunlabeled
Examining fan engagement through social networking sites
Thiago Santos, Abel Correia, Rui Biscaia, Ann Pegoraro
2018· article· en· International Journal of Sports Marketing and Sponsorship· Social Sciences
distilled prediction:candidate · noneconsensus · none
82
citations

How this was built: Screen · Findings · About