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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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Folklore, Mythology, and Literature Studies
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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.

1,148 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.
1,148 works in the cohort · of 4,299,418page 7 of 23

Labels cover 0 of 1,148 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 1,148 of 1,148 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 affno abstractunlabeled
I Am Psyched! at St. John's University
2017· dataset· en· PsycEXTRA Dataset· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Small Spirits: Native American Dolls
Antoon A. Leenaars, Lindsey Leenaars, Heather Leenaars, Kristen Leenaars
2006· article· en· Canadian journal of native studies· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canmore & Calgary Folk Festivals
David Gregory
2003· article· fr· Canadian Folk Music / Musique folklorique canadienne· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Mafic and Felsic
Daniele L. Pinti
2014· book-chapter· en· Encyclopedia of Astrobiology· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Socio-Emotional Spaces in Cinderella
Elaine Michelle Morton
2018· article· en· 2019 Conference of the Canadian Society for the Study of Education· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reviews
2015· review· en· DigitalCommons - WayneState (Wayne State University)· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Linux for suits: Penguins in Winnipeg
Doc Searls
2007· article· en· Linux journal· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Looking Glass Lore - Dialogues with Dolls
Jeffrey Canton
2017· article· en· Looking Glass : New Perspectives on Children's Literature· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The kiss : Love stories from North America
Jennifer Bassett, Alan Marks
2013· book· en· Oxford University Press eBooks· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian Folk Festival Directory, 2004
David Gregory
2003· article· fr· Canadian Folk Music / Musique folklorique canadienne· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Dog Poems (review)
Deborah Stevenson
2007· article· en· Bulletin of the Center for Children's Books./Bulletin of the Center for Children's Books· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations

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