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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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Religion, Society, and Development
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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.

1,610 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.
1,610 works in the cohort · of 4,299,418page 14 of 33

Labels cover 4 of 1,610 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 1,610 of 1,610 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.

affaboutunlabeled
God seeks and creates community
Stephen Kristenson
2008· article· en· Consensus· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
NGO Power: A Questionable Panacea
MARIE PIERRE CHEVRIER
2006· article· en· International Studies Review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Notes on contributors
Johannes Ljungberg, Erik Sidenvall
2023· book-chapter· en· Manchester University Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Acknowledgements
Johannes Ljungberg, Erik Sidenvall
2023· book-chapter· en· Manchester University Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
The Good Samaritan
Allen Jorgenson
2008· article· en· Consensus· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Doris Duke Charitable Foundation (DDCF)
2023· book-chapter· en· Palgrave Macmillan UK eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Mission Institution
Trevor D. Bell, Simon Kwoon‐Ho Chow, González Guitián C, Jayatilleke Y.D, Pablo Oyarzún R., Ronald L. Small
2017· book-chapter· en· University of Ottawa Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Overcoming Conflicting Loyalties
Robert Pynn, Irene Sevcik, Michael Rothery, Nancy Nason‐Clark
2015· book· en· University of Alberta Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
7 Layering Faith and Choice in Alberta
James Farney, Clark Banack
2023· book-chapter· en· University of Toronto Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Examining Evangelicals in Canada and the US
Sam Reimer
2003· book-chapter· en· McGill-Queen's University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.3917/etu.hs21.0121
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About