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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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Martial Arts: Techniques, Psychology, and Education
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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.

217 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.
217 works in the cohort · of 4,299,418page 2 of 5

Labels cover 2 of 217 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 217 of 217 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
Mens sana in corpore sano
Fabien Lacouture
2019· article· en· Italies· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueaboutno affunlabeled
Karate-Talk in a Canadian Dojo
Michaela Peters
2020· article· en· Journal for Undergraduate Ethnography· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Tameshi-Giri, or Japanese Sword Test-Cutting
Célia Kremer, Stéphanie Racette, Morgan Schellenberg, Amir Chaltchi, Anny Sauvageau
2008· article· en· American Journal of Forensic Medicine & Pathology· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Gladiators
Michael J. Carter
2021· book-chapter· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
O desenvolvimento do taekwondo como esporte paralímpico
Jacqueline Martins Patatas, Édison Duarte, José Júlio Gavião de Almeida
2016· article· pt· Revista Portuguesa de Ciências do Desporto· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Transformations through sport : the case of capoeira and basketball
Mike Baynham, Jessica Bradley, John Callaghan, Jitka Hanušová, Erik Moore, J. Simpson
2017· article· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Gender in martial arts and combat sports
Fabiana Cristina Turelli, David Kirk, Alexandre Fernández Vaz
2024· article· en· Conexões· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Martial Arts as Embodied Semiosis
Michael L. Raposa
2022· book-chapter· en· Semiotics· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About