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

72 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.
72 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 72 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 72 of 72 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.

fundno affunlabeled
Cricket farming as a livelihood strategy in Thailand
Afton Halloran, Nanna Roos, Yupa Hanboonsong
2016· article· en· Geographical Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
72
citations
affunlabeled
Encountering Berlant part two: Cruel and other optimisms
Ben Anderson, Akanksha Awal, Daniel Cockayne, Beth Greenhough, Jess Linz, Anurag Mazumdar +7 more
2022· article· en· Geographical Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Is social licence “going rogue”?
Charles Mather, Lucia Fanning
2019· article· en· Geographical Journal· Engineering
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Encountering Berlant part one: Concepts otherwise
Ben Anderson, Stuart Aitken, Jana Baćević, Felicity Callard, Kwang Dae Chung, Kathryn Coleman +14 more
2022· article· en· Geographical Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Revisiting Mackinder 1904–2004
Jennifer Hyndman
2004· article· en· Geographical Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About