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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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Canadian Geographies / Géographies canadiennes
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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.

1,198 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.
1,198 works in the cohort · of 4,299,418page 5 of 24

Labels cover 0 of 1,198 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 1,198 of 1,198 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.

affvenueaboutunlabeled
Fragmentation regimes of Canada's forests
Michael A. Wulder, Joanne C. White, Nicholas C. Coops
2011· article· en· Canadian Geographies / Géographies canadiennes· Environmental Science
machine prediction:candidate · noneconsensus · none
30
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
affvenueaboutunlabeled
Gendering environmental geography
Maureen G. Reed, Bruce Mitchell
2003· article· en· Canadian Geographies / Géographies canadiennes· Social Sciences
machine prediction:candidate · noneconsensus · none
28
citations
affvenueaboutno abstractunlabeled
Geographies of Aboriginal people in Canada
Evelyn J. Peters
2001· article· en· Canadian Geographies / Géographies canadiennes· Social Sciences
machine prediction:candidate · noneconsensus · none
28
citations
venueno affunlabeled
Our GIS is too small
Mark Gahegan
2017· article· en· Canadian Geographies / Géographies canadiennes· Social Sciences
machine prediction:candidate · noneconsensus · none
27
citations
affvenueunlabeled
Can big data tame a “naughty” world?
Jennifer Salmond, Marc Tadaki, Mark E. Dickson
2017· article· en· Canadian Geographies / Géographies canadiennes· Computer Science
machine prediction:candidate · metaresearchconsensus · none
27
citations
venueno affunlabeled
Sanity, “madness,” and the academy
Kate Maclean
2016· article· en· Canadian Geographies / Géographies canadiennes· Health Professions
machine prediction:candidate · noneconsensus · none
26
citations
venueno affunlabeled
Two decades on: Critical GIScience since 1993
Michael F. Goodchild
2014· article· en· Canadian Geographies / Géographies canadiennes· Social Sciences
machine prediction:candidate · stsconsensus · none
26
citations
afffundvenueaboutunlabeled
Do food deserts exist in Calgary, Canada?
Wei Lu, Feng Qiu
2015· article· en· Canadian Geographies / Géographies canadiennes· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
26
citations

How this was built: Screen · Findings · About