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
Building Research & Information
Topic
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.

36 results · 1 filter active ·
Results by year
20012025
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.
36 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 36 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 36 of 36 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
Public policy and construction innovation
George Seaden, André Manseau
2001· article· en· Building Research & Information· Decision Sciences
machine prediction:candidate · noneconsensus · none
221
citations
affunlabeled
Re-contextualizing the notion of comfort
Raymond J. Cole, John Robinson, Zosia Brown, Meg O’Shea
2008· article· en· Building Research & Information· Engineering
machine prediction:candidate · noneconsensus · none
206
citations
affunlabeled
Motivating change: shifting the paradigm
Chrisna du Plessis, Raymond J. Cole
2011· article· en· Building Research & Information· Engineering
machine prediction:candidate · noneconsensus · none
150
citations
affaboutunlabeled
Building human agency: a timely manifesto
Raymond J. Cole, Zosia Brown, Sherry McKay
2010· article· en· Building Research & Information· Engineering
machine prediction:candidate · noneconsensus · none
61
citations
afffundaboutunlabeled
Adapting to climate change in Canada
Nils Larsson
2003· article· en· Building Research & Information· Environmental Science
machine prediction:candidate · noneconsensus · none
49
citations
affaboutunlabeled
Model-based predictive control of office window shades
Brent Huchuk, H. Burak Gunay, William O’Brien, Cynthia A. Cruickshank
2015· article· en· Building Research & Information· Engineering
machine prediction:candidate · noneconsensus · none
32
citations
aboutno affunlabeled
Comfort in a brave new world
Ian Cooper
2009· article· en· Building Research & Information· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Accommodating the British climate
Raymond J. Cole
2012· article· en· Building Research & Information· Decision Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Universalizing modernism
Sherry McKay
2011· article· en· Building Research & Information· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About