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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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Nonprofit Sector and Volunteering
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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.

1,119 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.
1,119 works in the cohort · of 4,299,418page 15 of 23

Labels cover 1 of 1,119 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 1,119 of 1,119 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
Dr. Carver's odyssey
Vic Murray
2007· article· en· Nonprofit Management and Leadership· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affaboutno abstractunlabeled
Canada
Katie Misener, Kristen A. Morrison
2018· book-chapter· en· Sports economics, management and policy· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
The charity capacity curse
Lijun Zhang, Thomas Allard, David J. Hardisty, Xin Wang
2025· article· en· Journal of Consumer Psychology· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Marginalized Communities and Social Enterprises
Meike Siegner, Rajat Panwar, Robert Kozak
2019· article· en· Proceedings of the International Association for Business and Society· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Volunteer Management at the Paralympic Games
Tracey J. Dickson, F. Anne Terwiel, Fiona Buick
2017· book-chapter· en· Palgrave Macmillan UK eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Introduction to Clubs
Clayton W. Barrows, Michael Robinson
2018· book-chapter· en· Goodfellow Publishers eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Introduction
2010· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affaboutunlabeled
Gifts to unincorporated associations
Sally F. Dennis
2010· article· en· cIRcle (University of British Columbia)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Nonprofit Financial Response to Immigration
Claire Le Barbenchon, Lisa A. Keister
2021· article· en· Nonprofit and Voluntary Sector Quarterly· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About