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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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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.

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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 2 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.

affno abstractunlabeled
The new WTP: Willingness to participate
Michael Parent, Kirk Plangger, Anjali Bal
2011· article· en· Business Horizons· Social Sciences
distilled prediction:candidate · noneconsensus · none
210
citations
affunlabeled
AI voice bots: a services marketing research agenda
Philipp Klaus, Judy Zaichkowsky
2020· article· en· Journal of Services Marketing· Social Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+stsconsensus · none
194
citations
affunlabeled
Evaluating Research Methods on Travel Blogs
Maria Banyai, Troy D. Glover
2011· article· en· Journal of Travel Research· Social Sciences
distilled prediction:candidate · metaresearch+research_integrityconsensus · metaresearch
190
citations
affunlabeled
How Language Shapes Word of Mouth's Impact
Grant Packard, Jonah Berger
2016· article· en· Journal of Marketing Research· Social Sciences
distilled prediction:candidate · metaresearchconsensus · metaresearch
189
citations
affunlabeled
Relationship Marketing and Social Media in Sport
Gashaw Abeza, Norm O’Reilly, Ian Stewart Reid
2013· article· en· International Journal of Sport Communication· Social Sciences
distilled prediction:candidate · noneconsensus · none
188
citations
fundno affunlabeled
Social Media Tools Adoption and Use by SMES
Samuel Fosso Wamba, Lemuria Carter
2014· article· en· Journal of Organizational and End User Computing· Social Sciences
distilled prediction:candidate · noneconsensus · none
163
citations
fundno affunlabeled
eWOM, eReferral and gender in the virtual community
A. Mohammed Abubakar, Mustafa İlkan, Pınar Şahin
2016· article· en· Marketing Intelligence & Planning· Social Sciences
distilled prediction:candidate · metaresearchconsensus · none
137
citations
afffundunlabeled
Food choice in the e-commerce era
Ou Wang, Simon Somogyi, Sylvain Charlebois
2020· article· en· British Food Journal· Social Sciences
distilled prediction:candidate · noneconsensus · none
136
citations
affno abstractunlabeled
A model of e-commerce use by internationalizing SMEs
James H. Tiessen, Richard W. Wright, Ian L. Turner
2001· article· en· Journal of International Management· Social Sciences
distilled prediction:candidate · noneconsensus · none
127
citations
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How this was built: Screen · Findings · About