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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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International Journal of Sports Marketing and Sponsorship
Topic
Retraction
Abstract
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Study design
Label agreement
Label status

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.

50 results · 1 filter active ·
Results by year
20012025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
50 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 50 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 50 of 50 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

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
affaboutunlabeled
Internationalising ambush marketing: a comparative study
Benoît Séguin, Mark R. Lyberger, Norm O’Reilly, Larry McCarthy
2005· article· en· International Journal of Sports Marketing and Sponsorship· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
58
citations
affunlabeled
Twitter and Olympics
Bo Li, Olan Scott, Stephen W. Dittmore
2018· article· en· International Journal of Sports Marketing and Sponsorship· Social Sciences
distilled prediction:candidate · noneconsensus · none
16
citations
affaboutunlabeled
Nostalgia-based marketing campaigns and sport participation
Norm O’Reilly, Caroline Paras, Madelaine Gierc, Alexander Lithopoulos, Ananya Banerjee, Leah J. Ferguson +5 more
2024· article· en· International Journal of Sports Marketing and Sponsorship· Psychology
distilled prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About