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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
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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 29 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. 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.

venueno affno abstractunlabeled
10.1016/s0029-7437(07)70144-1
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Internet Consumer Behavior
Marie‐Odile Richard, Michel Laroche
2011· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Perceptions of Dairy Farms on the Environment
Sarah Ostapovich
2023· article· en· Crossing Borders Student Reflections on Global Social Issues· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.51847/Cs10YfgGxK
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Internet Marketing & SMEs
Daniel John Doiron
2011· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Nature of E-Loyalty in B2C E-Commerce
Daniel Tomiuk, Alain Pinsonneault
2002· book-chapter· en· Advances in global information management (AGIM) book series· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Nature of E-Loyalty in B2C E-Commerce
Daniel Tomiuk, Alain Pinsonneault
2011· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Consumer Subjective Social Feelings as a Function of Snack Type
James Painter, Michael M. Schuster, Janelle Mackenzie, C. Stanek, C. Bueno, E. Shuff +1 more
2016· article· en· Journal of Nutrition Education and Behavior· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Breaking Barriers: How Creativity Drives Research
Russell W. Belk, Renata Andreoni Barboza
2025· article· en· BAR - Brazilian Administration Review· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affno abstractunlabeled
IoT’s Consumer Acceptance: A New Perspective: An Abstract
Sabrina Hombourger-Barès, Leila El Kamel
2019· book-chapter· en· Developments in marketing science: proceedings of the Academy of Marketing Science· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.3917/dm.104.0199
Laurianne Schmitt, Éric Casenave, Jessie Pallud
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About