MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
American Environmental and Regional History
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.

2,758 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.
2,758 works in the cohort · of 4,299,418page 40 of 56

Labels cover 4 of 2,758 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 2,758 of 2,758 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
Back on the Grid
Paul Tarricone
2013· article· en· Lighting Design + Application· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
A House in the Woods by I. Moore
Sandy Campbell
2012· article· en· The Deakin Review of Children s Literature· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Storyville: A Study of Artifacts
Martha Quinn Fentriss
2022· article· en· SLIS Connecting· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
New Orleans and Other Urban Calamities
Rob Shields, Matthew Tiessen
2005· article· en· Space and Culture· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Another Report on the Age of Extinction
John O’Brian
2008· article· en· Canadian Review of American Studies· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
‘Emily Carr’ Canadian Artists™ Rose
Claude Richer, Lynn M. Collicutt, Campbell G. Davidson, Larry Dyck, Caroline Lafond
2008· article· en· HortScience· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Beaver Creek Institution
Anonymous Prisoner
2017· article· en· Journal of Prisoners on Prisons· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Roots in Two Worlds
Leila Zolfalipour
2025· article· en· Crossings An Undergraduate Arts Journal· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
WSU Vancouver Community Report, Fall 2000
2020· other· en· Research Exchange (Washington State University)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Front Matter
Nancy B. Bouchier, Graeme Wynn
2016· paratext· en· University of British Columbia Press eBooks· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Early Highway Planning
Edward Weiner
2016· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About