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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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Diverse Aspects of Tourism Research
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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.

1,934 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.
1,934 works in the cohort · of 4,299,418page 15 of 39

Labels cover 2 of 1,934 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 1,934 of 1,934 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.

aboutno affunlabeled
SARIMA-ELM hybrid model versus SARIMA-MLP hybrid model
Kadek Jemmy Waciko, Bukhary Ikhwan Ismail
2020· article· en· International Journal of Statistics and Applied Mathematics· Social Sciences
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
Florida Tourism
Julie Harrington, Hongmei Chi, Lori Gray
2017· book-chapter· en· Florida Climate Institute eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
8
citations
affunlabeled
Becoming a Tourism Scholar
Stephen L. Smith
2011· article· en· Tourism Geographies· Social Sciences
machine prediction:candidate · stsconsensus · none
8
citations
affno abstractunlabeled
Tourism myths and the Dunning Kruger effect
Stephen Pratt, Bing Pan, Elizabeth Agyeiwaah, Sut Ieng Lei, Peter Lugosi, Ksenia Kirillova +14 more
2024· article· en· Annals of Tourism Research· Social Sciences
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About