MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Transboundary Water Resource Management
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

675 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
675 works in the cohort · of 4,299,418page 3 of 14

Labels cover 0 of 675 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 675 of 675 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
When the levees break
Fred Pearce
2021· article· en· Science· Social Sciences
machine prediction:candidate · noneconsensus · none
15
citations
venueno affno abstractunlabeled
Sustainably managing freshwater resources
Suzie Greenhalgh, Oshadhi Samarasinghe
2018· article· en· Ecology and Society· Social Sciences
machine prediction:candidate · noneconsensus · none
15
citations
affaboutno abstractunlabeled
Water Policy in Canada
Mohammed H. Dore
2015· book· en· Social Sciences
machine prediction:candidate · noneconsensus · none
15
citations
venueno affno abstractunlabeled
Women and Environments International
Sherilyn MacGregor
2000· article· en· Canadian women's studies· Social Sciences
machine prediction:candidate · noneconsensus · none
15
citations
aboutno affunlabeled
As the Water Flows
Patrick L. Lawrence
2012· book-chapter· en· Science Publishers eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
13
citations
aboutno affunlabeled
Freshwater Politics in Canada
Peter Clancy
2014· book· en· University of Toronto Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
12
citations
venueaboutno affunlabeled
The St. Mary and Milk Rivers: The 1921 Order Revisited
R. A. Halliday, G. Faveri
2007· article· en· Canadian Water Resources Journal / Revue canadienne des ressources hydriques· Social Sciences
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
The Human Face of Water Security
Robert Sandford, Zafar Adeel, David J. Devlaeminck
2017· book· en· Water security in a new world· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
The Many Faces of Environmental Security
Jan Selby, Gabrielle Daoust, Anwesha Dutta, Jonathan Kishen Gamu, Esther Marijnen, Ayesha Siddiqi +1 more
2024· article· en· Annual Review of Environment and Resources· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
fundno affunlabeled
Contextualizing conflict
Adam French, Javiera Barandiarán, Costanza Rampini
2015· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Identifying predictors of international fisheries conflict
Jessica Spijkers, Gerald G. Singh, Colette C. C. Wabnitz, Henrik Österblom, Graeme S. Cumming, Tiffany H. Morrison
2021· article· en· Fish and Fisheries· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
State of the World's Rivers
Sheikh Tawhidul Islam, Syed Hafizur Rahman, Mir A. Matin, Aniruddha Dey, Byomkesh Talukder, Nandini Sanyal +2 more
2024· article· en· Annual Review of Environment and Resources· Social Sciences
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
Where the Waters Divide
Michael Mascarenhas
2012· book· en· Lexington Books· Social Sciences
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
Water stress and water wars
Frederic L. Pryor
2007· article· en· The Economics of Peace and Security Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About