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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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Consumer Behavior in Brand Consumption and Identification
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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.

1,449 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.
1,449 works in the cohort · of 4,299,418page 23 of 29

Labels cover 1 of 1,449 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 1,449 of 1,449 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
Motivation Research
Robert V. Kozinets
2010· other· en· Wiley International Encyclopedia of Marketing· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Zebras in Russia! Where next?: Figure 1
Richard W. Pollay
2003· article· en· Tobacco Control· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Understanding Brand Communities
Franck Barès, Bernard Covà, Anicet Nemani
2023· book-chapter· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.3917/dm.110.0141
2000· article· en· Time to knit· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affno abstractunlabeled
The Preference-Signaling Effect of Search
Xin Ge, Neil Brigden, Gerald Haeubl
2015· article· en· Alexandria (UniSG) (University of St.Gallen)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Impatience for negative experiences
David J. Hardisty
2025· article· en· Journal of Consumer Psychology· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Rating tourist reception: an exploratory study.
Mason T. LeBlanc
2000· article· fr· Loisir et Société / Society and Leisure· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Thank You to Our Reviewers
2019· article· en· Journal of the Association for Consumer Research· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
MIRRI0079390
2022· dataset· en· Entrepôt pour orphelin· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About