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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.

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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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Religious Education and Schools
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

1,021 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.
1,021 works in the cohort · of 4,299,418page 15 of 21

Labels cover 3 of 1,021 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 1,021 of 1,021 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
Religious Literacy in Action
Margaretta Patrick, Erin Reid, W. Y. Alice Chan, Hicham Tiflati
2025· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2023· dataset· en· Global Biodiversity Information Facility· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Lutheran Identity and Diversity in Education
Bruce R. Reichenbach
2003· article· en· Intersections Canadian Journal of Music· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reviews
Alan Sears, Aristotle Motii Nandy, Enrique Niño P. Leviste
2016· article· en· Citizenship Teaching and Learning· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Parallelism in Teaching and Indoctrination
Francis E. Ekanem
2013· article· en· Higher education of social science· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Helping Children to Embrace Diversity
Robert Desmarais
2015· article· en· The Deakin Review of Children s Literature· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Humanities and Religious Studies
David W. Atkinson
2020· article· en· Religious Studies and Theology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Trend 1997 - 2000. Statistics Canada. CANSIM: International Trade - Trade Patterns | Country: Canada | Table: Interprovincial and international trade flows at producer prices | Variable: Primary metal products (x 1,000,000), Internationaláexports (including re-exports) | Units: $CAD, 1997-2000. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-134.
2015· other· en· Data Planet· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
On Civic Education and Education for Peace
Hans Smits
2019· book-chapter· en· Encyclopedia of Teacher Education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Doing God in education
Elmer John Thiessen
2012· article· en· Journal of Beliefs and Values· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About