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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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Rural development and sustainability
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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.

1,031 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.
1,031 works in the cohort · of 4,299,418page 2 of 21

Labels cover 0 of 1,031 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 1,031 of 1,031 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
Low-Income in Census Metropolitan Areas, 1980–2000
Andrew Heisz, Logan McLeod
2004· preprint· en· RePEc: Research Papers in Economics· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
43
citations
affno abstractunlabeled
Landscapes of Transition
Kenneth Hewitt, Mary-Louise Byrne, Gordon R. Young
2002· book· en· ˜The œGeojournal library· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
39
citations
affaboutunlabeled
Rural Youth: Stayers, Leavers and Return Migrants
Richard Dupuy, Francine M. Mayer, René Morissette
2000· preprint· en· RePEc: Research Papers in Economics· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
37
citations
fundno affunlabeled
A minimum income standard for rural households
Noel Smith, Abigail Davis, Donald Hirsch
2010· article· en· Loughborough University Institutional Repository (Loughborough University)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
37
citations
aboutno affunlabeled
Innovations in Social Science Research Methods
Maria Xenitidou, Nigel Gilbert
2009· article· en· Surrey Research Insight Open Access (The University of Surrey)· Agricultural and Biological Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
37
citations
venueno affunlabeled
Agrarian pathways for the next generation of Japanese farmers
Steven R. McGreevy, Mai Kobayashi, Keiko Tanaka
2018· article· fr· Canadian Journal of Development Studies/Revue canadienne d études du développement· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
33
citations
aboutno affunlabeled
Research in Rural Sociology and Development
Paul Milbourne
2010· other· en· Research in rural sociology and development· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
33
citations
affno abstractunlabeled
What does the UK public want farmland to look like?
Niki Rust, Lucia Rehackova, Francis Z. Naab, Amber Abrams, Courtney Hughes, Bethann Garramon Merkle +2 more
2021· article· en· Land Use Policy· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
33
citations
affunlabeled
Field Expertise in Rural Land Management
Amy Proctor, Andrew Donaldson, Jeremy Phillipson, Philip Lowe
2012· article· en· Environment and Planning A Economy and Space· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
31
citations
affvenueaboutunlabeled
Canadian economic geography at the millennium
Trevor J. Barnes, John N. H. Britton, William J. Coffey, DAVID W. EDCINCTON, MERIC S. CERTLER, Glen Norcliffe
2000· article· en· Canadian Geographies / Géographies canadiennes· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
30
citations

How this was built: Screen · Findings · About