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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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Cruise Tourism Development and Management
Retraction
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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.

349 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
349 works in the cohort · of 4,299,418page 2 of 7

Labels cover 0 of 349 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 349 of 349 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 affunlabeled
Exploring the Coastal Tourism Potentials of Lagos
Nnezi Uduma-Olugu, Henry Ndubuisi Onukwube
2012· article· en· Journal of Sustainable Development· Social Sciences
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractRetractionunlabeled
WITHDRAWN: Malta tourism losses due to second wave of COVID-19
Victor Grech, Sarah Cuschieri, Martin Balzan, Peter Grech, Stephanie Fabri, Charmaine Gauci
2020· article· en· Early Human Development· Social Sciences
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
The effects of SARS on China's tourism enterprises.
Huimin Gu, Geoffrey Wall
2006· article· en· University of Zagreb University Computing Centre (SRCE)· Social Sciences
machine prediction:candidate · noneconsensus · none
7
citations
venueno affunlabeled
Alternative Lifestyles and Well-Being
Carolin Lusby, Stephen Anderson
2008· article· fr· Loisir et Société / Society and Leisure· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Saint-Martin/Sint Maarten
Steven Hillebrink
2013· book-chapter· en· Palgrave Macmillan UK eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Implementing Revenue Management for Travel Agencies
Grace Suk Ha Chan, Basak Denizci Guillet
2015· article· en· Journal of Management and Sustainability· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
St. Kitts en una encrucijada
Rachel Dodds, Jerome L. McElroy
2017· article· es· Ara· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(98)82160-1
2000· review· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations

How this was built: Screen · Findings · About