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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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Hermeneutics and Narrative Identity
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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
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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

17,078 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.
17,078 works in the cohort · of 4,299,418page 309 of 342

Labels cover 6 of 17,078 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 17,078 of 17,078 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
Alberta Lantz Kelvie Interview
2010· article· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
An Interview with George B. Pepper
Gregory J. Walters
2011· book-chapter· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
PHOENIX RIO SALADO/TEMPE TOWN LAKE
Paul F. Eschenfelder
2015· article· en· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Travels and Identities
Peter E. Paul Dembski
2017· book· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Plans Deranged by Time
2012· book· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Anne of Tim Hortons
Herb Wyile
2011· book· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Battle for Berlin, Ontario
2006· book· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Going by the Moon and the Stars
Pamela E. Klassen
2006· book· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Alberta and the Anthropocene
Mario Trono, Robert Boschman
2014· book-chapter· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Solution-Focused Supervision
Ann Moir-Bussy
2024· book-chapter· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Linking Sexuality and Gender
Tracy J. Trothen
2006· book· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The False Laws of Narrative
Louis Cabri
2009· book· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Auto/biography in Canada
Julie Rak
2006· book· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About